SlideShare uma empresa Scribd logo
1 de 7
Baixar para ler offline
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/276268238
PV Plant Modeling for Power System Integration using PSCAD Software
Conference Paper · May 2015
DOI: 10.1109/ATEE.2015.7133916
CITATIONS
4
READS
8,080
4 authors:
Some of the authors of this publication are also working on these related projects:
Determination of the remaining lifetime of power transformers liquid insulations based on the absorption/resorption currents View project
Bogdan Gorgan
OMICRON Energy Solutions
18 PUBLICATIONS   91 CITATIONS   
SEE PROFILE
Stefan Alexandru Busoi
10 PUBLICATIONS   34 CITATIONS   
SEE PROFILE
Tanasescu Gabriel
SIMTECH INTERNATIONAL
28 PUBLICATIONS   99 CITATIONS   
SEE PROFILE
Petru Notingher
Polytechnic University of Bucharest
164 PUBLICATIONS   1,356 CITATIONS   
SEE PROFILE
All content following this page was uploaded by Bogdan Gorgan on 29 May 2015.
The user has requested enhancement of the downloaded file.
THE 9
th
INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING
May 7-9, 2015
Bucharest, Romania
978-1-4799-7514-3/15/$31.00 ©2015 IEEE
PV Plant Modeling for Power System Integration
using PSCAD Software
Bogdan GORGAN1
, Stefan BUSOI1
, Gabriel TANASESCU1
, Petru V. NOTINGHER2
, Member IEEE
1
SC SIMTECH INTERNATIONAL SRL, Amurgului St., No. 45B, Ilfov, Romania
2
University POLITEHNICA of Bucharest, Splaiul Independentei St., No. 313, 060042, Bucharest, Romania
bgorgan@simtech-international.ro, sabusoi@simtech-international.ro, gtanasescu@simtech-international.ro,
petrunot@elmat.pub.ro
Abstract-PV Plants connected to the medium voltage grid do not
contribute to the grid stability. In order to prevent grid
instability, directives (codes) for connecting PV plants to the
medium voltage power grid have been released. The supply and
control of the reactive power from the renewable generation
plants are becoming important issues to be studied, because they
can facilitate the integration of PV in power grids. In this paper,
two new models of a 6.09 MW PV plant, used to analyze its grid
integration according to the grid code, are presented. The first is
a simplified model, without taking into account transformers
and cables, while the second one is a more complex model which
includes these components. The model was developed using
PSCAD-EMTDC software. The final part of the paper presents
the active-reactive power (P-Q) charts, calculated at the common
coupling point (CCP), for different levels of solar radiation (0%
to 100%). Based on these charts, it is determined the maximum
output power level which can be generated by the plant,
according to the current grid code.
Keywords: common coupling point, P-Q chart, PSCAD software,
PV plant, reactive power control.
I. INTRODUCTION
There is an increasing interest in renewable energy sources,
explained by changes occurred in the electro-energetic system
(manufacturing quality increase, lower equipment costs,
renewed interest in environmental pollution, continuous
decrease of classic fuel energy sources and worries regarding
nuclear energy) [1].
Until 2012, the installed PV capacity all over the world
exceeded 100 gigawatt (GW) [2]. Statistical data show that
PV systems are now developing in two directions: in large-
scale grid connected PV systems and in small-scale PV
systems integrated with other distributed generators in micro-
grids. Large-scale grid connected PV systems are generally
connected to the utility on the medium (20 kV/35 kV) or
high-voltage side (110 kV), with the rated capacity ranging
from 1 MW to hundreds of megawatts or even more [2].
PV units were operated to maximize the production of
energy in the past, regardless of the possibility of using
reactive power as a resource to improve the performance of
the energy system. During recent years, the possibility of
using PV plants as service providers has also been analyzed.
Moreover, it is a matter of fact that several transmission
system operators (TSO) are introducing in their grid-code
specific requirements concerning the possible application of
PV plants to control the reactive power and to participate in
voltage regulation [3].
Details of this can be found in the Italian, German,
Canadian, Australian and North American regulations [3]-[5].
In North America, the required power factor range is 0.95
lead (capacitive)/lag (inductive) at maximum power output
and must be supplied at the CCP [4]. Most grid codes in
Europe recognize that reactive power capability depends on
voltage conditions and contain specifications to that effect.
Thus, in Germany, the power factor design criterion is 0.95
lead/lag at full power output [5], which requires inverters to
be oversized or de-rated. This standard also requires dynamic
reactive power support during voltage variations [4]-[5]. In
Romania, the required power factor range is 0.9 lead/lag at
maximum power output and must be supplied at the CCP [6]-
[7]. Regulation [7] adds up a new deadline for PV plant grid
integration and maximum allowed limits for reactive power
generated during the night, in comparison with [6].
The major issues encountered when a PV plant is
connected to the power grid (stipulated in the grid code) are
the difficulty in operating at full power (taking into account
that the plant must operate at a certain power factor –
lead/lag, which implies generation/absorption of reactive
power to control the voltage at CCP), low/zero voltage ride
through (LVRT/ZVRT) function and no reactive power
generated/absorbed during the night [4]-[7].
Models regarding hybrid or single type power plants
behavior (wind/PV/diesel) and financial issues studies were
developed [8]-[20]. In [8] is presented a PV plant model
which takes into account environmental working conditions
(temperature and wind speed) and specific plant
configuration, for performance analysis and power production
forecast. In [9] are presented two models for wind and
photovoltaic power plants, which can evaluate (forecast) the
output power. In [10] is presented a steady-state model of a
grid connected power converter system and electrical
characteristics of the power converter under different control
conditions. Also, a solar cell model is presented, which is
used for energy transfer and grid integration study of the solar
PV system by incorporating together electrical characteristics
of the power converter and extracted power characteristics of
the PV generator. A detailed dynamic model, containing the
control and simulation of a smart grid-connected PV/WT
(wind turbine) hybrid power generation system, is proposed
in [11]. The dynamic behavior of the proposed model is
examined under different operating conditions. Solar
irradiance, temperature and wind speed data is gathered from
a 28.8 kW grid connected solar power system [11]. In [12] is
presented a simulation environment for the analysis of PV
generators connected to a micro-grid. An optimal planning
model for investment in large-scale solar PV generation (5
MW and above) from the perspective of an individual
investor is proposed in [13]. In [14], a 260 kW grid-tied PV
plant model is described, as well as harmonic distortion
analysis.
This paper presents two new models of a PV plant located
in Romania (P = 6.09 MW). The first one is a simplified
model and it takes into account PV modules, inverters,
transformers and the grid, without taking into account the
reactive power influence of cables and transformers. The
second one takes into account the transformers and cables
reactive power contributions at the common coupling point.
The models were developed to study the issues which appear
during the PV plant grid integration, according to the current
grid code (the difficulty in operating at full power, low/zero
voltage ride through (LVRT/ZVRT) function and no reactive
power generated/absorbed during the night [4]-[7]).
Such studies require a complete modeling of the PV plant
in an electromagnetic transient software environment. For this
reason, PSCAD with full facilities was chosen to simulate the
PV plant model. PSCAD is a powerful and flexible graphical
user interface to the world-renowned EMTDC simulation
engine. Also, PSCAD’s interface is designed in a way that is
easily used [14].
In the second part of the paper, the mathematical model of
the PV plant is presented. The models for solar panels,
inverters, transformers, cables and grid are described.
The third part refers to results and discussions of the
simulations (maximum output power level which can be
generated by the plant and the reactive power generated
during the night). A comparison between the results of the
simplified and the complete model is made, which shows that
to be in accordance with the current grid codes [6]-[7], the
reactive power influence of subcomponents like transformers
and cables are of utmost importance.
II. PV PLANT MODEL
To study the grid integration of a PV plant, the developed
model should take into account all the equipment installed
on-site. Usually, in a simplified model, transformers and
cables are simulated as resistances and inductances in series
and parallel [10-12]. The model presented in this paper
contains special modules for transformers and cables used to
take into account parameters like transformer magnetizing
current, short-circuit voltage, load and no-load losses, cable
dielectric parameters, length and diameters of cable
conductors and insulation. All these elements contribute to
the final active and especially reactive power generation and
absorption, thus they must be taken into account. The PV
plant model is based on [14] and [21], where more
information is given about the configuration of photovoltaic
modules, dc-dc converter, inverters power control/command
and transformers.
The studied PV plant (which is in operation in Romania)
consists of a number of 29232 photovoltaic modules of rated
power 240 W, 406 inverters with the rated power of 15 kVA,
4 transformers with rated power of 1600 kVA (20/0.4 kV).
There are two types of underground power cables (with cross
sections of 70 and 240 mm2 and lengths of 0.6 and 1.7 km)
connecting the transformers with the common coupling point.
The power of the PV plant is limited by the inverters’
maximum active power and is also called the installed power.
The model uses real data for each equipment, given by the
manufacturers and client.
In Figures 1-3, the entire PV plant model, split into three
parts for better resolution, is presented. Fig. 1 presents the PV
plant model containing the photovoltaic modules and the
inverters. Parameters Vpv and Ipv are the dc voltage and
current at the solar panels output. These parameters are
adjusted by the dc-dc converter to ensure that the PV plant
active power is maximum at a given time and also that the
input voltage value of the inverters is dcVltg = 900 V. The
inverters feed the transformers (0.4/20 kV) by converting the
dc input voltage in three phase ac voltage (Vinv). Also, the
inverters are the key elements for the active and reactive
power control of the PV plant. By reactive power absorption
(lag/inductive reactive power) or generation (lead/capacitive
reactive power), the inverters control the voltage level at the
common coupling point, around the rated value of 20 kV
(given by the transformers), by lowering it (inductive regime)
or increasing it (capacitive regime). The inverters control the
active (P) and reactive (Q) power using two PI (proportional-
integral) regulators, which were developed based on [14].
The next part of the PV plant, including transformers and
cables, until the common coupling point, is presented in Fig.
2. The switch breaker BRK_SM is used to simulate the PV
plant operation during the night, by putting the inverters in
“night mode”.
Active power losses and reactive power contributions of
transformers and cables can be determined using the meters
(P, Q and V) found in Fig. 2. The active power P is calculated
with the equation [21]-[22]:
)cos(3 ϕ⋅⋅⋅= IVP , (1)
where V is the phase to ground RMS voltage, I is the RMS
line current and φ is the power factor angle.
The reactive power Q is calculated with the equation [21]-
[22]:
)sin(3 ϕ⋅⋅⋅= IVQ , (2)
Fig. 1. PV plant model using PSCAD software. Part I - photovoltaic panels, inverter.
Fig. 2. PV plant model using PSCAD software. Part II - transformer, cables and busbar.
Fig. 3. PV plant model using PSCAD software. Part III - grid model.
where V is the phase to ground RMS voltage, I is the RMS
line current and φ is the power factor angle. The total reactive
power absorbed by the transformer (ΔQt) is calculated with
the equation [21]-[22]:
( ) ( ) 2
0
2
0
222
0 PnSiscPnSscukQscQtQ −⋅+−⋅=Δ+Δ=Δ , (3)
where ΔQsc [kVAr] is the reactive power absorbed by the
transformer during operation, ΔQ0 [kVAr] – the no-load
reactive power absorbed by the transformer, k [%] – load, usc
[%] – shortcircuit voltage, i0 [%] – the magnetizing current,
Sn [kVA] – the rated power, Psc [kW] – the active power load
losses and P0 [kW] – the active power no-load losses.
The total reactive power generated by the cable (ΔQc) is
calculated with the equation [21]-[22]:
2
32
2
3 VfCVC
c
Q ⋅⋅⋅⋅=⋅⋅⋅=Δ πω , (4)
where C [F] is the cable capacity, ω [rad/s] – the angular
frequency, V [V] – the grid voltage, f [Hz] – the grid
frequency.
The total active power loss of the transformer (ΔPt) is
calculated with the equation [21]-[22]:
0
2
0 PscPkPscPtP +⋅=+Δ=Δ , (5)
where ΔPsc [kW] is the active power loss of the transformer
during operation, P0 [kVAr] – the active power no-load
losses, k [%] – load and Psc [kW] – the active power load
losses.
The total active power loss of the cable (ΔPc) is calculated
with the equation [21]-[22]:
2
3
.
3
2
3 ⎟
⎠
⎞
⎜
⎝
⎛
⋅
⋅⋅=⋅⋅=Δ
V
nSk
RlIRcP , (6)
where R [Ω] is the cable resistance, Il [A] – the grid line
current, k [%] – load, Sn [kVA] – the rated power and V [V] –
the grid voltage. The grid model is presented in Fig. 3 and it
consists of a power substation with rated voltage of 110 kV, a
20 MVA power transformer (110/20 kV) and line consumers
(represented by a 5 MVA transformer).
III. RESULTS AND DISCUSSIONS
In this section, the P-Q charts in the common coupling
point, using the simplified and the complex PV plant models
are determined. The simulation is faster for the simplified
model due to the absence of cables and transformers. When
these are taken into account, the simulation time increases by
10 %.
In Fig. 4 the P-Q curve for one inverter, given by the
manufacturer, is presented.
Fig. 4. P-Q capability curve for one inverter.
It can be seen that the active power at grid voltages of (1-
1.1) Vn (respectively, 20-22 kV) is greater than if the value is
0.9 Vn (18 kV). This type of inverter can supply a reactive
power value of maximum ±9 kVAr. This capability curve was
extended for the entire PV plant and was used for all the
simulations.
For each level of solar radiation between 0 and 1000 W/m2
and cell temperature of 25 o
C, the active and reactive power
desired at steady state have been established at inverters
output, according to the capability curve presented in Fig. 4.
Then, in steady state regime, the reactive power contributions
of transformers and cables in CCP were determined, by
reading the monitors values in Fig. 2.
The results of the two models (with and without
transformers and cables reactive power contributions) are
presented in Tables I-III and Figs. 5 - 6. For grid voltages of
20, 18 and 22 kV, the P-Q charts in CCP are presented (Figs.
5 - 6). The corresponding voltage levels were simulated by
modifying the secondary voltage of the transformers from the
grid model.
A. P-Q chart in CCP at grid voltage V = 20 kV
Table I and Fig. 5 present the models’ results in CCP for
grid voltage V = 20 kV. The values for reactive power at the
common coupling point, when the model does not take into
account the contributions of transformers and cables, are
smaller than the values for the case when the model is
completed with the respective contribution. The differences
are up to 0.4 MVAr, on inductive regime. On the capacitive
regime, at the same voltage, the differences between the
reactive power values are up to 0.3 MVAr. At full power, the
transformers’ losses have high values, in comparison with
cables’ losses. This is the reason that the differences between
the two models are bigger on the inductive part. Thus, the
reactive power contributions at CCP level of transformers and
cables have to be taken into account.
According to Romania’s current grid codes, the maximum
active power values at which the PV plant can operate are P =
5.63 MW (inductive regime) and P = 5.39 MW (capacitive
regime). The power limitations were done based on the
complex model’s results. To limit the PV plant output power
is one possibility, the other being the installation of additional
compensation devices, which can supply the necessary
reactive power, so that the limitation line can be heightened
closer to the rated active power (P = 6.09 MW). On the other
hand, as it can be seen in Fig. 5, the necessary reactive power
of these devices should be approximately 3 MVAr, on both
inductive and capacitive regimes. During the night (P = 0),
the reactive power resulted from the simulation (given by
transformers and cables), by opening the switch breaker
BRK_SM (Fig. 2), is Q = 84 kVAr capacitive (Table I),
which has to be compensated by installing a coil with the
same reactive power value. The reactive power given by the
simplified model is zero, because the contributions of the
reactive components are neglected (Table I).
TABLE I
ACTIVE (P) AND REACTIVE (Q) POWER IN CCP WITH AND
WITHOUT TAKING INTO ACCOUNT TRANSFORMERS AND
CABLES INFLUENCE AT V = 20 KV.
Solar
radiation
[W/m2
]
P CCP
cap
[MW]
P
CCP
ind
[MW]
Q CCP
cap
[MVAr]
Q CCP
ind
[MVAr]
Q CCP
cap – no
transformers
and cables
[MVAr]
Q CCP
ind - no
transformers
and cables
[MVAr]
0 -0.007 -0.007 0.084 0.084 0 0
100 0.126 0.126 3.609 -3.702 3.561 -3.456
200 0.872 0.872 3.686 -3.667 3.639 -3.422
300 1.616 1.616 3.596 -3.693 3.548 -3.449
400 2.328 2.328 3.552 -3.706 3.45 -3.412
500 3.076 3.076 3.52 -3.73 3.387 -3.409
600 3.591 3.591 3.489 -3.799 3.315 -3.441
670 4.035 4.035 3.424 -3.84 3.215 -3.449
700 4.206 4.206 3.441 -3.85 3.217 -3.448
800 4.905 4.905 3.368 -3.909 3.088 -3.457
870 5.382 5.382 2.785 -3.333 2.501 -2.877
900 5.436 5.436 2.488 -3.059 2.202 -2.601
940 5.666 5.666 1.903 -2.49 1.615 -2.032
975 5.928 5.928 0.972 -1.561 0.679 -1.098
1000 5.978 5.978 -0.428 -0.428 -0.726 0.038
Fig. 5. P-Q diagram in CCP at grid voltage V = 20 kV. Comparison between
the models with and without taking into account the transformers and cables
reactive power contributions.
B. P-Q chart in CCP at grid voltages V = 18 kV and V = 22 kV
Tables II-III and Fig. 6 present the models’ results in CCP
for grid voltages V = 18 kV (capacitive regime) and V = 22
kV (inductive regime). The inductive regime for V = 18 kV
was not simulated because it would decrease the voltage in
CCP below the existing relay protection at minimum voltage.
Also, the capacitive regime for V = 22 kV was not simulated
because it would increase the voltage in CCP above the
existing relay protection at maximum voltage.
The differences between the two models’ values are up to
0.42 MVAr, on inductive regime (V = 22 kV). On the
capacitive regime, at V = 18 kV, the differences between the
reactive power values are up to 0.43 MVAr.
According to Romania’s current grid codes, the maximum
active power values at which the PV plant can operate are P =
5.64 MW (inductive regime) and P = 4.9 MW (capacitive
regime). To operate at full power with respect to Romania’s
grid codes, as it can be seen in Fig. 6, the necessary reactive
power of the compensation devices should be approximately
3 MVAr, on inductive regime and 2.5 MVAr on capacitive
regime.
TABLE II
ACTIVE (P) AND REACTIVE (Q) POWER IN CCP WITH AND
WITHOUT TAKING INTO ACCOUNT TRANSFORMERS AND
CABLES INFLUENCE AT V = 18 KV, CAPACITIVE REGIME.
Solar
radiation
[W/m2
]
P CCP
cap
[MW]
Q CCP
cap
[MVAr]
Q CCP cap -
no transformers and cables
[MVAr]
0 -0.005 0.07 0
100 0.1 3.585 3.338
200 0.692 3.579 3.328
300 1.392 3.579 3.313
400 2.019 3.549 3.259
500 2.626 3.508 3.19
600 3.186 3.468 3.118
670 3.601 3.429 3.055
814 4.499 2.794 2.381
880 4.919 2.201 1.777
940 5.255 1.416 0.984
1000 5.438 -0.408 -0.846
TABLE III
ACTIVE (P) AND REACTIVE (Q) POWER IN CCP WITH AND
WITHOUT TAKING INTO ACCOUNT TRANSFORMERS AND
CABLES INFLUENCE AT V = 22 KV, INDUCTIVE REGIME.
Solar
radiation
[W/m2
]
P CCP
ind
[MW]
Q CCP
ind
[MVAr]
Q CCP ind -
no transformers and cables
[MVAr]
0 -0.008 0.112 0
100 0.204 -3.598 -3.334
200 0.912 -3.62 -3.352
300 1.743 -3.621 -3.343
400 2.256 -3.652 -3.356
500 2.918 -3.662 -3.345
600 3.683 -3.677 -3.325
670 3.984 -3.712 -3.346
700 4.3 -3.73 -3.347
800 4.917 -3.78 -3.363
870 5.278 -3.204 -2.784
900 5.43 -2.913 -2.493
940 5.648 -2.348 -1.93
975 5.929 -1.418 -0.996
1000 5.975 -0.227 0.195
Fig. 6. P-Q diagram in CCP at grid voltages V = 18 kV (capacitive regime)
and V = 22 kV (inductive regime). Comparison between the models with and
without taking into account the transformers and cables reactive power
contributions.
During the night (P = 0), the reactive power resulted from
the simulation (given by transformers and cables), by opening
the switch breaker BRK_SM (Fig. 2), is Q = 70 kVAr
capacitive, at V = 18 kV (Table II) and Q = 112 kVAr
capacitive, at V = 22 kV (Table III) which has to be
compensated by installing a coil with the same reactive power
value. The reactive power given by the simplified model is
zero (Tables II and III - when solar radiation is zero), because
the contributions of the reactive components are neglected.
IV. CONCLUSIONS
The models presented in this paper, can be used to study
the integration of photovoltaic power plants in the power
system grid, according to the existing regulations (codes). It
is also the first complete study regarding grid integration of
MW-type PV plants, the other previous models studying kW-
type PV plants, which present fewer simulation issues and
constraints.
The reactive power contributions of transformers and
cables have to be taken into account, due to their importance
in the reactive power value obtained at the common coupling
point with the grid. The complex model is more appropriate
to be used for the simulation of a real photovoltaic power
plant.
REFERENCES
[1] F. Vatra, C. A. Vatra, P. Postolache, A. Poida, “Integrarea si
functionarea centralelor eoliene si a instalatiilor fotovoltaice in sistemul
electroenergetic (Wind and PV Power Plants Integration and Function
in the Electro-energetic System)”, SIER Publishing House; 2012,
Bucharest.
[2] M. Mao, P. Jin, L. Chang, H. Xu, “Economic Analysis and Optimal
Design on Microgrids with SS-PVs for Industries” IEEE Transactions
on Sustainable Energy, 2014, vol. 5, no. 4, pp. 1328-1336.
[3] A. Bonfiglio, M. Brignone, F. Delfino, R. Procopio, “Optimal Control
and Operation of Grid-Connected Photovoltaic Production Units for
Voltage Support in Medium-Voltage Networks”, IEEE Transactions on
Sustainable Energy, 2014. vol. 5, no. 1, pp. 254-563.
[4] A. Ellis, R. Nelson, E. Von Engeln, R. Walling, J. MacDowell, L.
Casey, E. Seymour, W. Peter, C. Barker, B. Kirby, J. R. Williams,
“Review of Existing Reactive Power Requirements for Variable
Generation”, IEEE Power Energy Soc. General Meeting, 2012, pp. 1–7.
[5] E. Troester, “New German Grid Codes for Connecting PV Systems to
the Medium Voltage Power Grid”, 2nd
International Workshop on
Concentrating Photovoltaic Power Plants: Optical Design, Production,
Grid Connection, 2008, pp. 1-4.
[6] The National Energy Regulatory Authority, “Procedure on Power
Connection for the Trial Period and Certification of the Technical
Compliance of Wind and Photovoltaic Power Plants”, Bucharest, no.
74/2013.
[7] The National Energy Regulatory Authority, “Procedure on Power
Connection for the Trial Period and Certification of the Technical
Compliance of Wind and Photovoltaic Power Plants”, Bucharest, no.
59/2014.
[8] F. Bizzarri, M. Bongiorno, A. Brambilla, G. Gruosso, G. S. Gajani,
“Model of Photovoltaic Power Plants for Performance Analysis and
Production Forecast”, IEEE Transactions on Sustainable Energy; 2013,
vol. 4, no. 2, pp. 278-285.
[9] M. Marinelli, P. Maule, A. N. Hahmann, O. Gehrke, P. B. Nogard, N.
A. Cutululis, “Wind and Photovoltaic Large-Scale Regional Models for
Hourly Production Evaluation”, IEEE Transactions on Sustainable
Energy, 2014, vol. PP, no. 99, pp. 1-8.
[10] S. Li, T. A. Haskew, D. Li, F. Hu, “Integrating photovoltaic and power
converter characteristics for energy extraction study of solar PV
systems”, Renewable Energy Journal, 2011, pp. 3238-3245.
[11] E. M. Natsheh, A. Albarbar, J. Yazdani, “Modeling and Control for
Smart Grid Integration of Solar/Wind Energy Conversion System”,
2011, 2nd
IEEE PES International Conference and Exhibition on
Innovative Smart Grid Technologies, pp. 1-8.
[12] J. R. Rodriguez, F. Ruiz, D. Biel, F. Guinjoan, “Simulation and
Analysis of Distributed PV Generation in a LV Network Using
MATLAB-Simulink”, Proceedings of IEEE International Symposium
on Circuit and Systems (ISCAS), 2010, pp. 2322-2325.
[13] W. Muneer, K. Bhattacharya, C. A. Canizares, “Large-Scale Solar PV
Investment Models, Tools, and Analysis: The Ontario Case”, IEEE
Transactions on Power Systems; 2011, vol. 26, no. 4, pp. 2547-2555.
[14] A. Kalbat, “PSCAD Simulation of Grid-Tied Photovoltaic Systems and
Total Harmonic Distortion Analysis”, 3rd
International Conference on
Electric Power and Energy Conversion Systems, Yildiz Technical
University, Istanbul, Turkey, 2013, pp. 1-6.
[15] W. Xiao, K. Torchyan, M. S. El Moursi, J. L. Kirtley, “Online
Supervisory Voltage Control for Grid Interface of Utility-Level PV
Plants”, IEEE Transactions on Sustainable Energy, 2014, vol. 5, no. 3,
pp. 843-853.
[16] P. Thounthong, A. Luksanasakul, P. Koseeyaporn, B. Davat,
”Intelligent Model-Based Control of a Standalone Photovoltaic/Fuel
Cell Power Plant With Supercapacitor Energy Storage”, IEEE
Transactions on Sustainable Energy; 2012, vol. 4, no. 1, pp. 240-249.
[17] Y. Y. Hong, R. C Lian, “Optimal Sizing of Hybrid Wind/PV/Diesel
Generation in a Stand-Alone Power System Using Markov-Based
Genetic Algorithm”, IEEE Transactions on Power Delivery, 2012, vol.
27, no. 2, pp. 640-647.
[18] J. Kabouris, G. C. Contaxis, “Autonomus System Expansion Planning
Considering Renewable Energy Sources – A Computer Package”, IEEE
Transactions on Energy Conversion, 1992, vol. 7, no. 3, pp. 374-381.
[19] C. H. Lin, W. L. Hsieh, C. S. Chen, C. T. Hsu, T. T. Ku, C. T. Tsai,
“Financial Analysis of a Large-Scale Photovoltaic System and Its
Impact on Distribution Feeders”, IEEE Transactions on Industry
Applications, 2011, vol. 47, no. 4, pp. 1884-1891.
[20] W. Xiao, F. F. Edwin, G. Spagnuolo, J. Jatskevich, “Efficient
Approaches for Modeling and Simulating Photovoltaic Power
Systems”, IEEE Journal of Photovoltaics, 2013, vol. 3, no. 1, pp. 500-
508.
[21] PSCAD X4 (v4.5.2) User Guide.
[22] C. Bala, Electrical Machines, EDP Publishing House, Bucharest, 1982.
View publication statsView publication stats

Mais conteúdo relacionado

Mais procurados

IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...
IRJET-  	  Modeling, Simulation and Control of a Photovoltaic Energy System w...IRJET-  	  Modeling, Simulation and Control of a Photovoltaic Energy System w...
IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...IRJET Journal
 
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid Supply
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid SupplyIRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid Supply
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid SupplyIRJET Journal
 
IRJET- A Review on Designing of 100KV Grid Power using Hybrid Parameters
IRJET-  	  A Review on Designing of 100KV Grid Power using Hybrid ParametersIRJET-  	  A Review on Designing of 100KV Grid Power using Hybrid Parameters
IRJET- A Review on Designing of 100KV Grid Power using Hybrid ParametersIRJET Journal
 
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...IRJET Journal
 
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMSIMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMSSuganthi Thangaraj
 
Simulation of various DC-DC converters for photovoltaic system
Simulation of various DC-DC converters for photovoltaic systemSimulation of various DC-DC converters for photovoltaic system
Simulation of various DC-DC converters for photovoltaic systemIJECEIAES
 
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...IJECEIAES
 
Hybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterHybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterIJECEIAES
 
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...Suganthi Thangaraj
 
High efficiency push pull converter for photovoltaic applications
High efficiency push pull converter for photovoltaic applicationsHigh efficiency push pull converter for photovoltaic applications
High efficiency push pull converter for photovoltaic applicationsEklavya Sharma
 
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...IJERD Editor
 
Decentralised PI controller design based on dynamic interaction decoupling in...
Decentralised PI controller design based on dynamic interaction decoupling in...Decentralised PI controller design based on dynamic interaction decoupling in...
Decentralised PI controller design based on dynamic interaction decoupling in...IJECEIAES
 
Ijmer 46061528
Ijmer 46061528Ijmer 46061528
Ijmer 46061528IJMER
 
Frequency regulation service of multiple-areas vehicle to grid application in...
Frequency regulation service of multiple-areas vehicle to grid application in...Frequency regulation service of multiple-areas vehicle to grid application in...
Frequency regulation service of multiple-areas vehicle to grid application in...IJECEIAES
 
The gravitational search algorithm for incorporating TCSC devices into the sy...
The gravitational search algorithm for incorporating TCSC devices into the sy...The gravitational search algorithm for incorporating TCSC devices into the sy...
The gravitational search algorithm for incorporating TCSC devices into the sy...IJECEIAES
 
Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...
Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...
Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...IJECEIAES
 
Small Signal Stability Improvement and Congestion Management Using PSO Based ...
Small Signal Stability Improvement and Congestion Management Using PSO Based ...Small Signal Stability Improvement and Congestion Management Using PSO Based ...
Small Signal Stability Improvement and Congestion Management Using PSO Based ...IDES Editor
 

Mais procurados (20)

IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...
IRJET-  	  Modeling, Simulation and Control of a Photovoltaic Energy System w...IRJET-  	  Modeling, Simulation and Control of a Photovoltaic Energy System w...
IRJET- Modeling, Simulation and Control of a Photovoltaic Energy System w...
 
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid Supply
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid SupplyIRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid Supply
IRJET- A Review on Solar based Multilevel Inverter with Three Phase Grid Supply
 
IRJET- A Review on Designing of 100KV Grid Power using Hybrid Parameters
IRJET-  	  A Review on Designing of 100KV Grid Power using Hybrid ParametersIRJET-  	  A Review on Designing of 100KV Grid Power using Hybrid Parameters
IRJET- A Review on Designing of 100KV Grid Power using Hybrid Parameters
 
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...IRJET-  	  A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
IRJET- A Review on Grid Connected Multi Array PV Battery based Bi-Directi...
 
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMSIMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
IMPROVED SWARM INTELLIGENCE APPROACH TO MULTI OBJECTIVE ED PROBLEMS
 
Simulation of various DC-DC converters for photovoltaic system
Simulation of various DC-DC converters for photovoltaic systemSimulation of various DC-DC converters for photovoltaic system
Simulation of various DC-DC converters for photovoltaic system
 
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
Harvesting in electric vehicles: Combining multiple power tracking and fuel-c...
 
Hybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverterHybrid bypass technique to mitigate leakage current in the grid-tied inverter
Hybrid bypass technique to mitigate leakage current in the grid-tied inverter
 
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
A Hybrid Control Scheme for Fault Ride-Through Capability using Line-Side Con...
 
07116665
0711666507116665
07116665
 
High efficiency push pull converter for photovoltaic applications
High efficiency push pull converter for photovoltaic applicationsHigh efficiency push pull converter for photovoltaic applications
High efficiency push pull converter for photovoltaic applications
 
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
A NOVEL CONTROL STRATEGY FOR POWER QUALITY IMPROVEMENT USING ANN TECHNIQUE FO...
 
Decentralised PI controller design based on dynamic interaction decoupling in...
Decentralised PI controller design based on dynamic interaction decoupling in...Decentralised PI controller design based on dynamic interaction decoupling in...
Decentralised PI controller design based on dynamic interaction decoupling in...
 
Solution for optimal power flow problem in wind energy system using hybrid mu...
Solution for optimal power flow problem in wind energy system using hybrid mu...Solution for optimal power flow problem in wind energy system using hybrid mu...
Solution for optimal power flow problem in wind energy system using hybrid mu...
 
A039101011
A039101011A039101011
A039101011
 
Ijmer 46061528
Ijmer 46061528Ijmer 46061528
Ijmer 46061528
 
Frequency regulation service of multiple-areas vehicle to grid application in...
Frequency regulation service of multiple-areas vehicle to grid application in...Frequency regulation service of multiple-areas vehicle to grid application in...
Frequency regulation service of multiple-areas vehicle to grid application in...
 
The gravitational search algorithm for incorporating TCSC devices into the sy...
The gravitational search algorithm for incorporating TCSC devices into the sy...The gravitational search algorithm for incorporating TCSC devices into the sy...
The gravitational search algorithm for incorporating TCSC devices into the sy...
 
Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...
Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...
Resource aware wind farm and D-STATCOM optimal sizing and placement in a dist...
 
Small Signal Stability Improvement and Congestion Management Using PSO Based ...
Small Signal Stability Improvement and Congestion Management Using PSO Based ...Small Signal Stability Improvement and Congestion Management Using PSO Based ...
Small Signal Stability Improvement and Congestion Management Using PSO Based ...
 

Semelhante a 36 p vplant-modeling-gorgan

IRJET- Performance Evaluation of Micro Grid
IRJET- Performance Evaluation of Micro GridIRJET- Performance Evaluation of Micro Grid
IRJET- Performance Evaluation of Micro GridIRJET Journal
 
FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...
FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...
FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...IRJET Journal
 
IRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel System
IRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel SystemIRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel System
IRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel SystemIRJET Journal
 
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...IRJET Journal
 
Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...
Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...
Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...IRJET Journal
 
Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...
Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...
Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...IRJET Journal
 
Using Parallel Diesel Generator and Fuel Cell as an Islanded Microgrid
Using Parallel Diesel Generator and Fuel Cell as an Islanded MicrogridUsing Parallel Diesel Generator and Fuel Cell as an Islanded Microgrid
Using Parallel Diesel Generator and Fuel Cell as an Islanded MicrogridDr. Amarjeet Singh
 
Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...
Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...
Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...IRJET Journal
 
DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...
DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...
DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...ijiert bestjournal
 
Performance numerical evaluation of modified single-ended primary-inductor c...
Performance numerical evaluation of modified single-ended  primary-inductor c...Performance numerical evaluation of modified single-ended  primary-inductor c...
Performance numerical evaluation of modified single-ended primary-inductor c...IJECEIAES
 
Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...
Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...
Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...ijtsrd
 
IRJET- Design and Simulation of Solar PV DC Microgrid for Rural Electrification
IRJET- Design and Simulation of Solar PV DC Microgrid for Rural ElectrificationIRJET- Design and Simulation of Solar PV DC Microgrid for Rural Electrification
IRJET- Design and Simulation of Solar PV DC Microgrid for Rural ElectrificationIRJET Journal
 
2018 2019 ieee power electronics and drives title and abstract
2018 2019 ieee power electronics and drives title and abstract2018 2019 ieee power electronics and drives title and abstract
2018 2019 ieee power electronics and drives title and abstractPower Integrated Solutions
 
FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...
FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...
FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...IRJET Journal
 
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...IRJET Journal
 
A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...
A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...
A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...IRJET Journal
 
IRJET- Multi-Level Inverter for Solar On-Grid System Design
IRJET- Multi-Level Inverter for Solar On-Grid System DesignIRJET- Multi-Level Inverter for Solar On-Grid System Design
IRJET- Multi-Level Inverter for Solar On-Grid System DesignIRJET Journal
 
Grid Integration of Large PV Power Systems Using HVDC Link
Grid Integration of Large PV Power Systems Using HVDC LinkGrid Integration of Large PV Power Systems Using HVDC Link
Grid Integration of Large PV Power Systems Using HVDC LinkIJERA Editor
 
2005_A Review of Single-Phase Grid-Connected Inverters.pdf
2005_A Review of Single-Phase Grid-Connected Inverters.pdf2005_A Review of Single-Phase Grid-Connected Inverters.pdf
2005_A Review of Single-Phase Grid-Connected Inverters.pdfPKSahu6
 

Semelhante a 36 p vplant-modeling-gorgan (20)

IRJET- Performance Evaluation of Micro Grid
IRJET- Performance Evaluation of Micro GridIRJET- Performance Evaluation of Micro Grid
IRJET- Performance Evaluation of Micro Grid
 
FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...
FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...
FORMULATION AND EXECUTION OF A DC TO DC BOOST CONVERTER WITH NON-CONVENTIONAL...
 
IRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel System
IRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel SystemIRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel System
IRJET- Hybrid Smart Grid Connected Photovoltaic and Fuel System
 
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...
IRJET- Energy Management and Control for Grid Connected Hybrid Energy Storage...
 
Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...
Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...
Renewable Energy Integration in Smart Grids: A Review of Recent Solutions to ...
 
Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...
Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...
Simulation studies on developed Solar PV Array based Multipurpose EV Charger ...
 
Using Parallel Diesel Generator and Fuel Cell as an Islanded Microgrid
Using Parallel Diesel Generator and Fuel Cell as an Islanded MicrogridUsing Parallel Diesel Generator and Fuel Cell as an Islanded Microgrid
Using Parallel Diesel Generator and Fuel Cell as an Islanded Microgrid
 
Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...
Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...
Modeling of Solar PV system under Partial Shading using Particle Swarm Optimi...
 
DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...
DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...
DESIGN AND SIMULATION ANALYSIS OF SEVEN LEVEL CASCADED GRID CONNECTED INVERTE...
 
Performance numerical evaluation of modified single-ended primary-inductor c...
Performance numerical evaluation of modified single-ended  primary-inductor c...Performance numerical evaluation of modified single-ended  primary-inductor c...
Performance numerical evaluation of modified single-ended primary-inductor c...
 
Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...
Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...
Photovoltaic Connected Cascaded H bridge Multilevel Inverters with Improved H...
 
IRJET- Design and Simulation of Solar PV DC Microgrid for Rural Electrification
IRJET- Design and Simulation of Solar PV DC Microgrid for Rural ElectrificationIRJET- Design and Simulation of Solar PV DC Microgrid for Rural Electrification
IRJET- Design and Simulation of Solar PV DC Microgrid for Rural Electrification
 
Nonlinear control of GTI for stabilizing future smart grids
Nonlinear control of GTI for stabilizing future smart gridsNonlinear control of GTI for stabilizing future smart grids
Nonlinear control of GTI for stabilizing future smart grids
 
2018 2019 ieee power electronics and drives title and abstract
2018 2019 ieee power electronics and drives title and abstract2018 2019 ieee power electronics and drives title and abstract
2018 2019 ieee power electronics and drives title and abstract
 
FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...
FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...
FUZZY LOGIC CONTROLLER BASED MPPT METHODS FOR THE MULTILEVEL INVERTERS TO THE...
 
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
IRJET- Frequency Control of Distributed Generators in Microgrid with ANFIS Co...
 
A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...
A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...
A Review on Methodologies of Multi Array PV Battery Based Bi- Directional Con...
 
IRJET- Multi-Level Inverter for Solar On-Grid System Design
IRJET- Multi-Level Inverter for Solar On-Grid System DesignIRJET- Multi-Level Inverter for Solar On-Grid System Design
IRJET- Multi-Level Inverter for Solar On-Grid System Design
 
Grid Integration of Large PV Power Systems Using HVDC Link
Grid Integration of Large PV Power Systems Using HVDC LinkGrid Integration of Large PV Power Systems Using HVDC Link
Grid Integration of Large PV Power Systems Using HVDC Link
 
2005_A Review of Single-Phase Grid-Connected Inverters.pdf
2005_A Review of Single-Phase Grid-Connected Inverters.pdf2005_A Review of Single-Phase Grid-Connected Inverters.pdf
2005_A Review of Single-Phase Grid-Connected Inverters.pdf
 

Último

Online banking management system project.pdf
Online banking management system project.pdfOnline banking management system project.pdf
Online banking management system project.pdfKamal Acharya
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingrknatarajan
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VDineshKumar4165
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTbhaskargani46
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756dollysharma2066
 
result management system report for college project
result management system report for college projectresult management system report for college project
result management system report for college projectTonystark477637
 
Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank  Design by Working Stress - IS Method.pdfIntze Overhead Water Tank  Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank Design by Working Stress - IS Method.pdfSuman Jyoti
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...Call Girls in Nagpur High Profile
 
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...roncy bisnoi
 
UNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICS
UNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICSUNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICS
UNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICSrknatarajan
 
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordCCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordAsst.prof M.Gokilavani
 
Double rodded leveling 1 pdf activity 01
Double rodded leveling 1 pdf activity 01Double rodded leveling 1 pdf activity 01
Double rodded leveling 1 pdf activity 01KreezheaRecto
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdfankushspencer015
 
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Bookingdharasingh5698
 
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELLPVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELLManishPatel169454
 

Último (20)

Online banking management system project.pdf
Online banking management system project.pdfOnline banking management system project.pdf
Online banking management system project.pdf
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
 
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
(INDIRA) Call Girl Aurangabad Call Now 8617697112 Aurangabad Escorts 24x7
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - V
 
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort ServiceCall Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
 
result management system report for college project
result management system report for college projectresult management system report for college project
result management system report for college project
 
Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank  Design by Working Stress - IS Method.pdfIntze Overhead Water Tank  Design by Working Stress - IS Method.pdf
Intze Overhead Water Tank Design by Working Stress - IS Method.pdf
 
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
 
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...Booking open Available Pune Call Girls Koregaon Park  6297143586 Call Hot Ind...
Booking open Available Pune Call Girls Koregaon Park 6297143586 Call Hot Ind...
 
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
 
NFPA 5000 2024 standard .
NFPA 5000 2024 standard                                  .NFPA 5000 2024 standard                                  .
NFPA 5000 2024 standard .
 
UNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICS
UNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICSUNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICS
UNIT-IFLUID PROPERTIES & FLOW CHARACTERISTICS
 
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and RoutesRoadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
 
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordCCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
 
Double rodded leveling 1 pdf activity 01
Double rodded leveling 1 pdf activity 01Double rodded leveling 1 pdf activity 01
Double rodded leveling 1 pdf activity 01
 
AKTU Computer Networks notes --- Unit 3.pdf
AKTU Computer Networks notes ---  Unit 3.pdfAKTU Computer Networks notes ---  Unit 3.pdf
AKTU Computer Networks notes --- Unit 3.pdf
 
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 BookingVIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Ankleshwar 7001035870 Whatsapp Number, 24/07 Booking
 
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELLPVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
PVC VS. FIBERGLASS (FRP) GRAVITY SEWER - UNI BELL
 

36 p vplant-modeling-gorgan

  • 1. See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/276268238 PV Plant Modeling for Power System Integration using PSCAD Software Conference Paper · May 2015 DOI: 10.1109/ATEE.2015.7133916 CITATIONS 4 READS 8,080 4 authors: Some of the authors of this publication are also working on these related projects: Determination of the remaining lifetime of power transformers liquid insulations based on the absorption/resorption currents View project Bogdan Gorgan OMICRON Energy Solutions 18 PUBLICATIONS   91 CITATIONS    SEE PROFILE Stefan Alexandru Busoi 10 PUBLICATIONS   34 CITATIONS    SEE PROFILE Tanasescu Gabriel SIMTECH INTERNATIONAL 28 PUBLICATIONS   99 CITATIONS    SEE PROFILE Petru Notingher Polytechnic University of Bucharest 164 PUBLICATIONS   1,356 CITATIONS    SEE PROFILE All content following this page was uploaded by Bogdan Gorgan on 29 May 2015. The user has requested enhancement of the downloaded file.
  • 2. THE 9 th INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING May 7-9, 2015 Bucharest, Romania 978-1-4799-7514-3/15/$31.00 ©2015 IEEE PV Plant Modeling for Power System Integration using PSCAD Software Bogdan GORGAN1 , Stefan BUSOI1 , Gabriel TANASESCU1 , Petru V. NOTINGHER2 , Member IEEE 1 SC SIMTECH INTERNATIONAL SRL, Amurgului St., No. 45B, Ilfov, Romania 2 University POLITEHNICA of Bucharest, Splaiul Independentei St., No. 313, 060042, Bucharest, Romania bgorgan@simtech-international.ro, sabusoi@simtech-international.ro, gtanasescu@simtech-international.ro, petrunot@elmat.pub.ro Abstract-PV Plants connected to the medium voltage grid do not contribute to the grid stability. In order to prevent grid instability, directives (codes) for connecting PV plants to the medium voltage power grid have been released. The supply and control of the reactive power from the renewable generation plants are becoming important issues to be studied, because they can facilitate the integration of PV in power grids. In this paper, two new models of a 6.09 MW PV plant, used to analyze its grid integration according to the grid code, are presented. The first is a simplified model, without taking into account transformers and cables, while the second one is a more complex model which includes these components. The model was developed using PSCAD-EMTDC software. The final part of the paper presents the active-reactive power (P-Q) charts, calculated at the common coupling point (CCP), for different levels of solar radiation (0% to 100%). Based on these charts, it is determined the maximum output power level which can be generated by the plant, according to the current grid code. Keywords: common coupling point, P-Q chart, PSCAD software, PV plant, reactive power control. I. INTRODUCTION There is an increasing interest in renewable energy sources, explained by changes occurred in the electro-energetic system (manufacturing quality increase, lower equipment costs, renewed interest in environmental pollution, continuous decrease of classic fuel energy sources and worries regarding nuclear energy) [1]. Until 2012, the installed PV capacity all over the world exceeded 100 gigawatt (GW) [2]. Statistical data show that PV systems are now developing in two directions: in large- scale grid connected PV systems and in small-scale PV systems integrated with other distributed generators in micro- grids. Large-scale grid connected PV systems are generally connected to the utility on the medium (20 kV/35 kV) or high-voltage side (110 kV), with the rated capacity ranging from 1 MW to hundreds of megawatts or even more [2]. PV units were operated to maximize the production of energy in the past, regardless of the possibility of using reactive power as a resource to improve the performance of the energy system. During recent years, the possibility of using PV plants as service providers has also been analyzed. Moreover, it is a matter of fact that several transmission system operators (TSO) are introducing in their grid-code specific requirements concerning the possible application of PV plants to control the reactive power and to participate in voltage regulation [3]. Details of this can be found in the Italian, German, Canadian, Australian and North American regulations [3]-[5]. In North America, the required power factor range is 0.95 lead (capacitive)/lag (inductive) at maximum power output and must be supplied at the CCP [4]. Most grid codes in Europe recognize that reactive power capability depends on voltage conditions and contain specifications to that effect. Thus, in Germany, the power factor design criterion is 0.95 lead/lag at full power output [5], which requires inverters to be oversized or de-rated. This standard also requires dynamic reactive power support during voltage variations [4]-[5]. In Romania, the required power factor range is 0.9 lead/lag at maximum power output and must be supplied at the CCP [6]- [7]. Regulation [7] adds up a new deadline for PV plant grid integration and maximum allowed limits for reactive power generated during the night, in comparison with [6]. The major issues encountered when a PV plant is connected to the power grid (stipulated in the grid code) are the difficulty in operating at full power (taking into account that the plant must operate at a certain power factor – lead/lag, which implies generation/absorption of reactive power to control the voltage at CCP), low/zero voltage ride through (LVRT/ZVRT) function and no reactive power generated/absorbed during the night [4]-[7]. Models regarding hybrid or single type power plants behavior (wind/PV/diesel) and financial issues studies were developed [8]-[20]. In [8] is presented a PV plant model which takes into account environmental working conditions (temperature and wind speed) and specific plant configuration, for performance analysis and power production forecast. In [9] are presented two models for wind and photovoltaic power plants, which can evaluate (forecast) the output power. In [10] is presented a steady-state model of a grid connected power converter system and electrical characteristics of the power converter under different control conditions. Also, a solar cell model is presented, which is used for energy transfer and grid integration study of the solar PV system by incorporating together electrical characteristics of the power converter and extracted power characteristics of
  • 3. the PV generator. A detailed dynamic model, containing the control and simulation of a smart grid-connected PV/WT (wind turbine) hybrid power generation system, is proposed in [11]. The dynamic behavior of the proposed model is examined under different operating conditions. Solar irradiance, temperature and wind speed data is gathered from a 28.8 kW grid connected solar power system [11]. In [12] is presented a simulation environment for the analysis of PV generators connected to a micro-grid. An optimal planning model for investment in large-scale solar PV generation (5 MW and above) from the perspective of an individual investor is proposed in [13]. In [14], a 260 kW grid-tied PV plant model is described, as well as harmonic distortion analysis. This paper presents two new models of a PV plant located in Romania (P = 6.09 MW). The first one is a simplified model and it takes into account PV modules, inverters, transformers and the grid, without taking into account the reactive power influence of cables and transformers. The second one takes into account the transformers and cables reactive power contributions at the common coupling point. The models were developed to study the issues which appear during the PV plant grid integration, according to the current grid code (the difficulty in operating at full power, low/zero voltage ride through (LVRT/ZVRT) function and no reactive power generated/absorbed during the night [4]-[7]). Such studies require a complete modeling of the PV plant in an electromagnetic transient software environment. For this reason, PSCAD with full facilities was chosen to simulate the PV plant model. PSCAD is a powerful and flexible graphical user interface to the world-renowned EMTDC simulation engine. Also, PSCAD’s interface is designed in a way that is easily used [14]. In the second part of the paper, the mathematical model of the PV plant is presented. The models for solar panels, inverters, transformers, cables and grid are described. The third part refers to results and discussions of the simulations (maximum output power level which can be generated by the plant and the reactive power generated during the night). A comparison between the results of the simplified and the complete model is made, which shows that to be in accordance with the current grid codes [6]-[7], the reactive power influence of subcomponents like transformers and cables are of utmost importance. II. PV PLANT MODEL To study the grid integration of a PV plant, the developed model should take into account all the equipment installed on-site. Usually, in a simplified model, transformers and cables are simulated as resistances and inductances in series and parallel [10-12]. The model presented in this paper contains special modules for transformers and cables used to take into account parameters like transformer magnetizing current, short-circuit voltage, load and no-load losses, cable dielectric parameters, length and diameters of cable conductors and insulation. All these elements contribute to the final active and especially reactive power generation and absorption, thus they must be taken into account. The PV plant model is based on [14] and [21], where more information is given about the configuration of photovoltaic modules, dc-dc converter, inverters power control/command and transformers. The studied PV plant (which is in operation in Romania) consists of a number of 29232 photovoltaic modules of rated power 240 W, 406 inverters with the rated power of 15 kVA, 4 transformers with rated power of 1600 kVA (20/0.4 kV). There are two types of underground power cables (with cross sections of 70 and 240 mm2 and lengths of 0.6 and 1.7 km) connecting the transformers with the common coupling point. The power of the PV plant is limited by the inverters’ maximum active power and is also called the installed power. The model uses real data for each equipment, given by the manufacturers and client. In Figures 1-3, the entire PV plant model, split into three parts for better resolution, is presented. Fig. 1 presents the PV plant model containing the photovoltaic modules and the inverters. Parameters Vpv and Ipv are the dc voltage and current at the solar panels output. These parameters are adjusted by the dc-dc converter to ensure that the PV plant active power is maximum at a given time and also that the input voltage value of the inverters is dcVltg = 900 V. The inverters feed the transformers (0.4/20 kV) by converting the dc input voltage in three phase ac voltage (Vinv). Also, the inverters are the key elements for the active and reactive power control of the PV plant. By reactive power absorption (lag/inductive reactive power) or generation (lead/capacitive reactive power), the inverters control the voltage level at the common coupling point, around the rated value of 20 kV (given by the transformers), by lowering it (inductive regime) or increasing it (capacitive regime). The inverters control the active (P) and reactive (Q) power using two PI (proportional- integral) regulators, which were developed based on [14]. The next part of the PV plant, including transformers and cables, until the common coupling point, is presented in Fig. 2. The switch breaker BRK_SM is used to simulate the PV plant operation during the night, by putting the inverters in “night mode”. Active power losses and reactive power contributions of transformers and cables can be determined using the meters (P, Q and V) found in Fig. 2. The active power P is calculated with the equation [21]-[22]: )cos(3 ϕ⋅⋅⋅= IVP , (1) where V is the phase to ground RMS voltage, I is the RMS line current and φ is the power factor angle. The reactive power Q is calculated with the equation [21]- [22]: )sin(3 ϕ⋅⋅⋅= IVQ , (2)
  • 4. Fig. 1. PV plant model using PSCAD software. Part I - photovoltaic panels, inverter. Fig. 2. PV plant model using PSCAD software. Part II - transformer, cables and busbar. Fig. 3. PV plant model using PSCAD software. Part III - grid model.
  • 5. where V is the phase to ground RMS voltage, I is the RMS line current and φ is the power factor angle. The total reactive power absorbed by the transformer (ΔQt) is calculated with the equation [21]-[22]: ( ) ( ) 2 0 2 0 222 0 PnSiscPnSscukQscQtQ −⋅+−⋅=Δ+Δ=Δ , (3) where ΔQsc [kVAr] is the reactive power absorbed by the transformer during operation, ΔQ0 [kVAr] – the no-load reactive power absorbed by the transformer, k [%] – load, usc [%] – shortcircuit voltage, i0 [%] – the magnetizing current, Sn [kVA] – the rated power, Psc [kW] – the active power load losses and P0 [kW] – the active power no-load losses. The total reactive power generated by the cable (ΔQc) is calculated with the equation [21]-[22]: 2 32 2 3 VfCVC c Q ⋅⋅⋅⋅=⋅⋅⋅=Δ πω , (4) where C [F] is the cable capacity, ω [rad/s] – the angular frequency, V [V] – the grid voltage, f [Hz] – the grid frequency. The total active power loss of the transformer (ΔPt) is calculated with the equation [21]-[22]: 0 2 0 PscPkPscPtP +⋅=+Δ=Δ , (5) where ΔPsc [kW] is the active power loss of the transformer during operation, P0 [kVAr] – the active power no-load losses, k [%] – load and Psc [kW] – the active power load losses. The total active power loss of the cable (ΔPc) is calculated with the equation [21]-[22]: 2 3 . 3 2 3 ⎟ ⎠ ⎞ ⎜ ⎝ ⎛ ⋅ ⋅⋅=⋅⋅=Δ V nSk RlIRcP , (6) where R [Ω] is the cable resistance, Il [A] – the grid line current, k [%] – load, Sn [kVA] – the rated power and V [V] – the grid voltage. The grid model is presented in Fig. 3 and it consists of a power substation with rated voltage of 110 kV, a 20 MVA power transformer (110/20 kV) and line consumers (represented by a 5 MVA transformer). III. RESULTS AND DISCUSSIONS In this section, the P-Q charts in the common coupling point, using the simplified and the complex PV plant models are determined. The simulation is faster for the simplified model due to the absence of cables and transformers. When these are taken into account, the simulation time increases by 10 %. In Fig. 4 the P-Q curve for one inverter, given by the manufacturer, is presented. Fig. 4. P-Q capability curve for one inverter. It can be seen that the active power at grid voltages of (1- 1.1) Vn (respectively, 20-22 kV) is greater than if the value is 0.9 Vn (18 kV). This type of inverter can supply a reactive power value of maximum ±9 kVAr. This capability curve was extended for the entire PV plant and was used for all the simulations. For each level of solar radiation between 0 and 1000 W/m2 and cell temperature of 25 o C, the active and reactive power desired at steady state have been established at inverters output, according to the capability curve presented in Fig. 4. Then, in steady state regime, the reactive power contributions of transformers and cables in CCP were determined, by reading the monitors values in Fig. 2. The results of the two models (with and without transformers and cables reactive power contributions) are presented in Tables I-III and Figs. 5 - 6. For grid voltages of 20, 18 and 22 kV, the P-Q charts in CCP are presented (Figs. 5 - 6). The corresponding voltage levels were simulated by modifying the secondary voltage of the transformers from the grid model. A. P-Q chart in CCP at grid voltage V = 20 kV Table I and Fig. 5 present the models’ results in CCP for grid voltage V = 20 kV. The values for reactive power at the common coupling point, when the model does not take into account the contributions of transformers and cables, are smaller than the values for the case when the model is completed with the respective contribution. The differences are up to 0.4 MVAr, on inductive regime. On the capacitive regime, at the same voltage, the differences between the reactive power values are up to 0.3 MVAr. At full power, the transformers’ losses have high values, in comparison with cables’ losses. This is the reason that the differences between the two models are bigger on the inductive part. Thus, the reactive power contributions at CCP level of transformers and cables have to be taken into account. According to Romania’s current grid codes, the maximum active power values at which the PV plant can operate are P = 5.63 MW (inductive regime) and P = 5.39 MW (capacitive regime). The power limitations were done based on the complex model’s results. To limit the PV plant output power
  • 6. is one possibility, the other being the installation of additional compensation devices, which can supply the necessary reactive power, so that the limitation line can be heightened closer to the rated active power (P = 6.09 MW). On the other hand, as it can be seen in Fig. 5, the necessary reactive power of these devices should be approximately 3 MVAr, on both inductive and capacitive regimes. During the night (P = 0), the reactive power resulted from the simulation (given by transformers and cables), by opening the switch breaker BRK_SM (Fig. 2), is Q = 84 kVAr capacitive (Table I), which has to be compensated by installing a coil with the same reactive power value. The reactive power given by the simplified model is zero, because the contributions of the reactive components are neglected (Table I). TABLE I ACTIVE (P) AND REACTIVE (Q) POWER IN CCP WITH AND WITHOUT TAKING INTO ACCOUNT TRANSFORMERS AND CABLES INFLUENCE AT V = 20 KV. Solar radiation [W/m2 ] P CCP cap [MW] P CCP ind [MW] Q CCP cap [MVAr] Q CCP ind [MVAr] Q CCP cap – no transformers and cables [MVAr] Q CCP ind - no transformers and cables [MVAr] 0 -0.007 -0.007 0.084 0.084 0 0 100 0.126 0.126 3.609 -3.702 3.561 -3.456 200 0.872 0.872 3.686 -3.667 3.639 -3.422 300 1.616 1.616 3.596 -3.693 3.548 -3.449 400 2.328 2.328 3.552 -3.706 3.45 -3.412 500 3.076 3.076 3.52 -3.73 3.387 -3.409 600 3.591 3.591 3.489 -3.799 3.315 -3.441 670 4.035 4.035 3.424 -3.84 3.215 -3.449 700 4.206 4.206 3.441 -3.85 3.217 -3.448 800 4.905 4.905 3.368 -3.909 3.088 -3.457 870 5.382 5.382 2.785 -3.333 2.501 -2.877 900 5.436 5.436 2.488 -3.059 2.202 -2.601 940 5.666 5.666 1.903 -2.49 1.615 -2.032 975 5.928 5.928 0.972 -1.561 0.679 -1.098 1000 5.978 5.978 -0.428 -0.428 -0.726 0.038 Fig. 5. P-Q diagram in CCP at grid voltage V = 20 kV. Comparison between the models with and without taking into account the transformers and cables reactive power contributions. B. P-Q chart in CCP at grid voltages V = 18 kV and V = 22 kV Tables II-III and Fig. 6 present the models’ results in CCP for grid voltages V = 18 kV (capacitive regime) and V = 22 kV (inductive regime). The inductive regime for V = 18 kV was not simulated because it would decrease the voltage in CCP below the existing relay protection at minimum voltage. Also, the capacitive regime for V = 22 kV was not simulated because it would increase the voltage in CCP above the existing relay protection at maximum voltage. The differences between the two models’ values are up to 0.42 MVAr, on inductive regime (V = 22 kV). On the capacitive regime, at V = 18 kV, the differences between the reactive power values are up to 0.43 MVAr. According to Romania’s current grid codes, the maximum active power values at which the PV plant can operate are P = 5.64 MW (inductive regime) and P = 4.9 MW (capacitive regime). To operate at full power with respect to Romania’s grid codes, as it can be seen in Fig. 6, the necessary reactive power of the compensation devices should be approximately 3 MVAr, on inductive regime and 2.5 MVAr on capacitive regime. TABLE II ACTIVE (P) AND REACTIVE (Q) POWER IN CCP WITH AND WITHOUT TAKING INTO ACCOUNT TRANSFORMERS AND CABLES INFLUENCE AT V = 18 KV, CAPACITIVE REGIME. Solar radiation [W/m2 ] P CCP cap [MW] Q CCP cap [MVAr] Q CCP cap - no transformers and cables [MVAr] 0 -0.005 0.07 0 100 0.1 3.585 3.338 200 0.692 3.579 3.328 300 1.392 3.579 3.313 400 2.019 3.549 3.259 500 2.626 3.508 3.19 600 3.186 3.468 3.118 670 3.601 3.429 3.055 814 4.499 2.794 2.381 880 4.919 2.201 1.777 940 5.255 1.416 0.984 1000 5.438 -0.408 -0.846 TABLE III ACTIVE (P) AND REACTIVE (Q) POWER IN CCP WITH AND WITHOUT TAKING INTO ACCOUNT TRANSFORMERS AND CABLES INFLUENCE AT V = 22 KV, INDUCTIVE REGIME. Solar radiation [W/m2 ] P CCP ind [MW] Q CCP ind [MVAr] Q CCP ind - no transformers and cables [MVAr] 0 -0.008 0.112 0 100 0.204 -3.598 -3.334 200 0.912 -3.62 -3.352 300 1.743 -3.621 -3.343 400 2.256 -3.652 -3.356 500 2.918 -3.662 -3.345 600 3.683 -3.677 -3.325 670 3.984 -3.712 -3.346 700 4.3 -3.73 -3.347 800 4.917 -3.78 -3.363 870 5.278 -3.204 -2.784 900 5.43 -2.913 -2.493 940 5.648 -2.348 -1.93 975 5.929 -1.418 -0.996 1000 5.975 -0.227 0.195
  • 7. Fig. 6. P-Q diagram in CCP at grid voltages V = 18 kV (capacitive regime) and V = 22 kV (inductive regime). Comparison between the models with and without taking into account the transformers and cables reactive power contributions. During the night (P = 0), the reactive power resulted from the simulation (given by transformers and cables), by opening the switch breaker BRK_SM (Fig. 2), is Q = 70 kVAr capacitive, at V = 18 kV (Table II) and Q = 112 kVAr capacitive, at V = 22 kV (Table III) which has to be compensated by installing a coil with the same reactive power value. The reactive power given by the simplified model is zero (Tables II and III - when solar radiation is zero), because the contributions of the reactive components are neglected. IV. CONCLUSIONS The models presented in this paper, can be used to study the integration of photovoltaic power plants in the power system grid, according to the existing regulations (codes). It is also the first complete study regarding grid integration of MW-type PV plants, the other previous models studying kW- type PV plants, which present fewer simulation issues and constraints. The reactive power contributions of transformers and cables have to be taken into account, due to their importance in the reactive power value obtained at the common coupling point with the grid. The complex model is more appropriate to be used for the simulation of a real photovoltaic power plant. REFERENCES [1] F. Vatra, C. A. Vatra, P. Postolache, A. Poida, “Integrarea si functionarea centralelor eoliene si a instalatiilor fotovoltaice in sistemul electroenergetic (Wind and PV Power Plants Integration and Function in the Electro-energetic System)”, SIER Publishing House; 2012, Bucharest. [2] M. Mao, P. Jin, L. Chang, H. Xu, “Economic Analysis and Optimal Design on Microgrids with SS-PVs for Industries” IEEE Transactions on Sustainable Energy, 2014, vol. 5, no. 4, pp. 1328-1336. [3] A. Bonfiglio, M. Brignone, F. Delfino, R. Procopio, “Optimal Control and Operation of Grid-Connected Photovoltaic Production Units for Voltage Support in Medium-Voltage Networks”, IEEE Transactions on Sustainable Energy, 2014. vol. 5, no. 1, pp. 254-563. [4] A. Ellis, R. Nelson, E. Von Engeln, R. Walling, J. MacDowell, L. Casey, E. Seymour, W. Peter, C. Barker, B. Kirby, J. R. Williams, “Review of Existing Reactive Power Requirements for Variable Generation”, IEEE Power Energy Soc. General Meeting, 2012, pp. 1–7. [5] E. Troester, “New German Grid Codes for Connecting PV Systems to the Medium Voltage Power Grid”, 2nd International Workshop on Concentrating Photovoltaic Power Plants: Optical Design, Production, Grid Connection, 2008, pp. 1-4. [6] The National Energy Regulatory Authority, “Procedure on Power Connection for the Trial Period and Certification of the Technical Compliance of Wind and Photovoltaic Power Plants”, Bucharest, no. 74/2013. [7] The National Energy Regulatory Authority, “Procedure on Power Connection for the Trial Period and Certification of the Technical Compliance of Wind and Photovoltaic Power Plants”, Bucharest, no. 59/2014. [8] F. Bizzarri, M. Bongiorno, A. Brambilla, G. Gruosso, G. S. Gajani, “Model of Photovoltaic Power Plants for Performance Analysis and Production Forecast”, IEEE Transactions on Sustainable Energy; 2013, vol. 4, no. 2, pp. 278-285. [9] M. Marinelli, P. Maule, A. N. Hahmann, O. Gehrke, P. B. Nogard, N. A. Cutululis, “Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation”, IEEE Transactions on Sustainable Energy, 2014, vol. PP, no. 99, pp. 1-8. [10] S. Li, T. A. Haskew, D. Li, F. Hu, “Integrating photovoltaic and power converter characteristics for energy extraction study of solar PV systems”, Renewable Energy Journal, 2011, pp. 3238-3245. [11] E. M. Natsheh, A. Albarbar, J. Yazdani, “Modeling and Control for Smart Grid Integration of Solar/Wind Energy Conversion System”, 2011, 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, pp. 1-8. [12] J. R. Rodriguez, F. Ruiz, D. Biel, F. Guinjoan, “Simulation and Analysis of Distributed PV Generation in a LV Network Using MATLAB-Simulink”, Proceedings of IEEE International Symposium on Circuit and Systems (ISCAS), 2010, pp. 2322-2325. [13] W. Muneer, K. Bhattacharya, C. A. Canizares, “Large-Scale Solar PV Investment Models, Tools, and Analysis: The Ontario Case”, IEEE Transactions on Power Systems; 2011, vol. 26, no. 4, pp. 2547-2555. [14] A. Kalbat, “PSCAD Simulation of Grid-Tied Photovoltaic Systems and Total Harmonic Distortion Analysis”, 3rd International Conference on Electric Power and Energy Conversion Systems, Yildiz Technical University, Istanbul, Turkey, 2013, pp. 1-6. [15] W. Xiao, K. Torchyan, M. S. El Moursi, J. L. Kirtley, “Online Supervisory Voltage Control for Grid Interface of Utility-Level PV Plants”, IEEE Transactions on Sustainable Energy, 2014, vol. 5, no. 3, pp. 843-853. [16] P. Thounthong, A. Luksanasakul, P. Koseeyaporn, B. Davat, ”Intelligent Model-Based Control of a Standalone Photovoltaic/Fuel Cell Power Plant With Supercapacitor Energy Storage”, IEEE Transactions on Sustainable Energy; 2012, vol. 4, no. 1, pp. 240-249. [17] Y. Y. Hong, R. C Lian, “Optimal Sizing of Hybrid Wind/PV/Diesel Generation in a Stand-Alone Power System Using Markov-Based Genetic Algorithm”, IEEE Transactions on Power Delivery, 2012, vol. 27, no. 2, pp. 640-647. [18] J. Kabouris, G. C. Contaxis, “Autonomus System Expansion Planning Considering Renewable Energy Sources – A Computer Package”, IEEE Transactions on Energy Conversion, 1992, vol. 7, no. 3, pp. 374-381. [19] C. H. Lin, W. L. Hsieh, C. S. Chen, C. T. Hsu, T. T. Ku, C. T. Tsai, “Financial Analysis of a Large-Scale Photovoltaic System and Its Impact on Distribution Feeders”, IEEE Transactions on Industry Applications, 2011, vol. 47, no. 4, pp. 1884-1891. [20] W. Xiao, F. F. Edwin, G. Spagnuolo, J. Jatskevich, “Efficient Approaches for Modeling and Simulating Photovoltaic Power Systems”, IEEE Journal of Photovoltaics, 2013, vol. 3, no. 1, pp. 500- 508. [21] PSCAD X4 (v4.5.2) User Guide. [22] C. Bala, Electrical Machines, EDP Publishing House, Bucharest, 1982. View publication statsView publication stats