SlideShare uma empresa Scribd logo
1 de 33
Baixar para ler offline
Smart Grid in Europe
Graham Ault
Smarter Grid Solutions

London
16th October 2013

Essential Engineering Intelligence

1
Overview


European smart grid landscape:





Vision and roadmap: European Electric Grid Initiative (EEGI)
Standardisation and development: Smart Grid Architecture Model
(SGAM)

Whole system smart grid implications:




Ireland
United Kingdom
Belgium

Essential Engineering Intelligence

2
The European Smart Grid
Landscape
EERA

CIGRE

CENELEC
ENTSO-E

ETP
SmartGrids

CIRED
EURELECTRIC
CEER/ACER

EDSO4SG

EU/EC

ERA-NET

Essential Engineering Intelligence

3
European Electricity Grid Initiative
(EEGI)
 ‘Research & Innovation Roadmap’
and ‘Implementation Plan’
 Key challenges:




http://www.smartgrids.eu/European
-Electricity-Grid-Initiative





Development of renewable generation at
transmission level
Implementing new network infrastructures
Transition from aging fossil-fuelled plant to
small residential PV and large scale wind
Power electronics for generation and grid
Transmission-Distribution interface issues
Grid supporting market development

Essential Engineering Intelligence

4
‘System of Systems’

Essential Engineering Intelligence

5
EEGI: Innovation Roll-Out

Essential Engineering Intelligence

6
Research and Innovation Plan

Essential Engineering Intelligence

7
Smart Grid Architecture Model
(SGAM)
 Standardisation framework requested as
EU directive:








Means to communicate in a common view/language
about system context with industry, customers and
regulators
Integration of various existing state-of-the-art approaches
into one model with additional European aspects
Methods to serve as a basis to analyse and evaluate
alternative implementations of an architecture
Support for planning for transition from an existing legacy
architecture to a new smart grid-driven architecture
Criteria for properly assessing conformance with
identified standards and given interoperability
requirements.

Essential Engineering Intelligence

8
Smart Grid Architecture Model

Essential Engineering Intelligence

9
Example: DER Reactive Power Control

Essential Engineering Intelligence

10
SGAM: Use Case Mapping

Essential Engineering Intelligence

11
SGAM: Component Layer

Essential Engineering Intelligence

12
SGAM: Business Layer

Essential Engineering Intelligence

13
SGAM: Functional layer and design

Essential Engineering Intelligence

14
SGAM: Business  Information Layer

Essential Engineering Intelligence

15
SGAM: Information Layer

Essential Engineering Intelligence

16
SGAM: Communications layer and options

Essential Engineering Intelligence

17
Ireland: Wind power voltage support

Paul Cuffe,
Paul Smith,
Andrew Keane

 Large distribution connected wind
power portfolio
 Erosion of ‘traditional’ generation
voltage support capability
 Exploration of aggregated resource
capability of wind power from DSO to
TSO network
 Need to integrate results into
transmission planning
Essential Engineering Intelligence

18
Reactive support from Distributed
Wind Generation

Cuffe, P: ‘Reactive Power From Distributed Generators: Characterisation And
Utilisation Of The Resource’, PhD Thesis, 2013.

Essential Engineering Intelligence

19
Wind power voltage support
(Qnet) here









Each generator locally
maximising reactive power
Dispatch active power to
minimize total reactive
support
Minimize reactive power
injection into transmission
system: min (Qnet)
Find the worst combination
of active power flows that
may align to hinder reactive
power provision

Essential Engineering Intelligence

20
Essential Engineering Intelligence
Capability with enhanced LDC

Essential Engineering Intelligence
United Kingdom
Accelerating Renewable Connections (ARC)



Scottish Power Distribution £8M+ LCNF T2 Project
Aims to offer faster, more economic DG connections via:
 A new connections process;
 The use of smart interventions to accelerate
connections – Active Network Management and other
Technologies; and
 ANM-enabling GSPs approaching capacity ahead of
need.

Essential Engineering Intelligence

23
ANM-enabled
Grid Supply Point

ANM-enabled
Grid Supply Point

ANM-enabled
Grid Supply Point
Essential Engineering Intelligence

24
Circuit Rating:
Summer:
90MVA
Spring/Autumn: 100MVA
Winter:
110MVA

Circuit Rating:
Summer:
90MVA
Spring/Autumn: 100MVA
Winter:
110MVA

132/33kV
60MVA

132/33kV
60MVA

Export Capacity
Exceeded during low
demand/max output

GSP

Overload
Tripping
Scheme

Wind Farm A
48 MW

Wind Farm B
62.5 MW

Max Demand: 36.5MW
Min Demand: ~10MW

New EFW
27.5MW

Essential Engineering Intelligence

25
Reinforcement Options
Circuit Rating:
Summer:
90MVA
Spring/Autumn: 100MVA
Winter:
110MVA

Circuit Rating:
Summer:
90MVA
Spring/Autumn: 100MVA
Winter:
110MVA

132/33kV
90MVA

132/33kV
90MVA

Transformer
Replacement

GSP

Overload
Tripping
Scheme

Wind Farm A
48 MW

Wind Farm B
62.5 MW

New EFW
27.5MW

Max Demand: 36.5MW
Min Demand: ~10MW

Essential Engineering Intelligence

26
Reinforcement Options
Circuit Rating:
Summer:
160MVA

Circuit Rating:
Summer:

160MVA

132/33kV
60MVA

132/33kV
60MVA

GSP A Board

Wind Farm B
62.5 MW

50% Existing Demand

132/33kV
90MVA

Additional
Transformers
+
Reinforcement of
132kV

GSP B Board

Wind Farm A
48MW

New EFW
27.5MW

50% Existing Demand

Essential Engineering Intelligence

27
Circuit Rating:
Summer:
90MVA
Spring/Autumn: 100MVA
Winter:
110MVA

Circuit Rating:
Summer:
90MVA
Spring/Autumn: 100MVA
Winter:
110MVA

ANM
Alternative

132/33kV
60MVA

132/33kV
60MVA

DNP3/ICCP
DNP3

Existing Comms

GSP

DNP3

Overload
Tripping
Scheme

Wind Farm A
48 MW

Wind Farm B
62.5 MW

Max Demand: 36.5MW
Min Demand: ~10MW

New EFW
27.5MW

Essential Engineering Intelligence

28
ARC – Challenges at the
DNO/TO/SO Boundary






Multiple Stakeholders
New Commercial Agreements
Understanding the impact on system security
Understanding the visibility required by the SO
New Planning/Operational Planning tools required

Essential Engineering Intelligence

29
Belgium: East Loop
Comblain

62 MVA
70.360
62 MVA
70.359

84 MVA
0.9 km
298 AMS

30 MVA

10 MVA
20 MVA
T2A

3.9 km
93 AMS

11 MVA

15.7 kV

15.47

Bütgenbach

20 MVA

41 MVA

T2

15.7 kV
9.6 km
93 AMS

70.329

T1

110 MVA

T4

300 MVA

T1
T3

20 MVA

Amel

Brume
380 kV

90 MVA

33 MVA

7.3 km
148 AMS

70.330 41 MVA

13 MVA

13 MVA

70.325 160 MVA

T2

Overloaded circuit (N-1)

20 MVA

48 MVA
70.328 (55 MVA)
60 MVA

T11

T1

Essential Engineering Intelligence

T2

T1

22 MVA

40 MVA

40 MVA

T3

15.8 kV

Out of service
planned on 2015

15.1 km
148 AMS

15.8 kV

18.5 km
148 AMS

Cierreux

20 MVA
12 MVA

T2

15.6 kV

510 MVA

0.3 km
2x 298 AMS

48 MVA
70.327 (55 MVA)

220.504

22 km
1000 AluPRC

97 MVA
70.363

27.5 km
2x 298 AMS

220.504

510 MVA

T1

14 MVA

St Vith

Brume
220 kV

Villeroux
220 kV

18 MVA

T2B

0.8 km
2x 298 AMS

Hydroelectric

Switch (disconnector)
Circuit breaker

15.8 kV

HY
2.5 MVA

70.332

T1

East Loop

T3

10 MVA

Stephanshof

Trois-Ponts

Legend

10.1 km
93 AMS

Coo

T2
6 kV

HY

70.331

84 MVA
6.9 km
298 AMS

70.350

16.5 km
182 AMS

T1

18 MVA

41 MVA

62 MVA

Bronrome

Rimière

http://www.cired.net/publications/cired2011/part1/paper
s/CIRED2011_0316_final.pdf

Pepinster

Beverce
70.362

HY

70.360

24.1 km
182 AMS

Romsée
220 kV
36 MVA
6.4 km
48 Cu

70.351

T8

Soiron

15.6 kV
11.2 km
93 AMS

41 MVA
70.349

HY 5 MVA

Bomal

Romsée 70 kV
10.3 km
182 AMS

13 MVA

T1
6 kV

4.5 km
182 AMS

13 MVA

Heid de Goreux 70 kV
T2

127 MVA

 DG growth creating bidirectional flows creating
congestion on Trans (70kV)
and Dist (15kV) networks
 TSO and DSO collaboration
and data exchange required to
safeguard system
 Active Network Management
proposed

TurboJet
IBV 18 MVA
25 MVA
6 kV

Houffalize 70 kV

Spanolux

8.4 MVA

30
Belgium: East Loop
Comblain

62 MVA
70.360
62 MVA
70.359

84 MVA
0.9 km
298 AMS

30 MVA

10 MVA
20 MVA
T2A

3.9 km
93 AMS

11 MVA

15.7 kV

15.47

Bütgenbach

20 MVA

41 MVA

T2

15.7 kV
9.6 km
93 AMS

70.329

T1

110 MVA

T4

300 MVA

T1
T3

20 MVA

Amel

Brume
380 kV

90 MVA

33 MVA

7.3 km
148 AMS

70.330 41 MVA

13 MVA

13 MVA

70.325 160 MVA

T2

Overloaded circuit (N-1)

20 MVA

48 MVA
70.328 (55 MVA)
60 MVA

T11

T1

T2

T1

22 MVA

40 MVA

40 MVA

T3

15.8 kV

Out of service
planned on 2015

15.1 km
148 AMS

15.8 kV

18.5 km
148 AMS

Cierreux

20 MVA
12 MVA

T2

15.6 kV

510 MVA

0.3 km
2x 298 AMS

48 MVA
70.327 (55 MVA)

220.504

22 km
1000 AluPRC

97 MVA
70.363

27.5 km
2x 298 AMS

220.504

510 MVA

T1

14 MVA

St Vith

Brume
220 kV

Villeroux
220 kV

18 MVA

T2B

0.8 km
2x 298 AMS

Hydroelectric

Switch (disconnector)
Circuit breaker

15.8 kV

HY
2.5 MVA

70.332

T1

East Loop

T3

10 MVA

Stephanshof

Trois-Ponts

Legend

10.1 km
93 AMS

Coo
Rimière

T2
6 kV

HY

70.331

84 MVA
6.9 km
298 AMS

16.5 km
182 AMS

T1

18 MVA

41 MVA

62 MVA

Bronrome

70.350

Pepinster

Beverce
70.362

HY

70.360

24.1 km
182 AMS

Romsée
220 kV
36 MVA
6.4 km
48 Cu

70.351

T8

Soiron

15.6 kV
11.2 km
93 AMS

41 MVA
70.349

HY 5 MVA

Bomal

Romsée 70 kV
10.3 km
182 AMS

13 MVA

T1
6 kV

4.5 km
182 AMS

13 MVA

Heid de Goreux 70 kV
T2

127 MVA

 TSO takes lead in calculating
constraint actions
 Control link planned between
DSO and TSO SCADA systems.
 Grid Code changes required
 Market and regulation
changes identified
 Commercial arrangements
required: TSO, DSO, DG

TurboJet
IBV 18 MVA
25 MVA
6 kV

Houffalize 70 kV

Spanolux

8.4 MVA

Essential Engineering Intelligence

31
Summary
 Major European efforts on coordination, stimulus
and standardisation
 Clear market statements of need (e.g. EEGI)
 Tools to underpin innovation and integration are
promising (e.g. SGAM)
 Real smart grid initiatives provide clear indications
of whole system approaches spanning the physical
system and across multiple actors

Essential Engineering Intelligence

32
www.smartergridsolutions.com

Essential Engineering Intelligence

33

Mais conteúdo relacionado

Mais procurados

30 11-2011 mart grid Jani Valtari Cleen Finpro seminar
30 11-2011 mart grid Jani Valtari Cleen Finpro seminar30 11-2011 mart grid Jani Valtari Cleen Finpro seminar
30 11-2011 mart grid Jani Valtari Cleen Finpro seminar
Business Finland
 
UNMESH 2015 modified Presentation
UNMESH 2015 modified PresentationUNMESH 2015 modified Presentation
UNMESH 2015 modified Presentation
Sayak Chakraborty
 
Landis+Gyr Smart Grid Presentation
Landis+Gyr Smart Grid PresentationLandis+Gyr Smart Grid Presentation
Landis+Gyr Smart Grid Presentation
lg_slideshare
 

Mais procurados (20)

Tamil Nadu (TN) Solar Policy 2019 Highlights_07.02.2019
Tamil Nadu (TN) Solar Policy 2019 Highlights_07.02.2019Tamil Nadu (TN) Solar Policy 2019 Highlights_07.02.2019
Tamil Nadu (TN) Solar Policy 2019 Highlights_07.02.2019
 
Vehicle to grid technology
Vehicle to grid technologyVehicle to grid technology
Vehicle to grid technology
 
Unlocking the Innovation Hidden within Today’s Variable-Speed Drives
Unlocking the Innovation Hidden within Today’s Variable-Speed DrivesUnlocking the Innovation Hidden within Today’s Variable-Speed Drives
Unlocking the Innovation Hidden within Today’s Variable-Speed Drives
 
Clean power plans - the role of the smart grid
Clean power plans  - the role of the smart gridClean power plans  - the role of the smart grid
Clean power plans - the role of the smart grid
 
Ongoing Macro-Stand Alone and CGE modelling approaches at UCL Energy Institute
Ongoing Macro-Stand Alone and CGE modelling approaches at UCL Energy InstituteOngoing Macro-Stand Alone and CGE modelling approaches at UCL Energy Institute
Ongoing Macro-Stand Alone and CGE modelling approaches at UCL Energy Institute
 
Pantech vlsi [xilinx ise & spartan fpga] 2016-17
Pantech  vlsi [xilinx ise & spartan fpga] 2016-17Pantech  vlsi [xilinx ise & spartan fpga] 2016-17
Pantech vlsi [xilinx ise & spartan fpga] 2016-17
 
Patent Landscape Report on “Electric vehicles – Vehicle to Grid Technology” b...
Patent Landscape Report on “Electric vehicles – Vehicle to Grid Technology” b...Patent Landscape Report on “Electric vehicles – Vehicle to Grid Technology” b...
Patent Landscape Report on “Electric vehicles – Vehicle to Grid Technology” b...
 
Why Super Low Loss Amorphous Transformers are a Non-brainer for Britain’s Lea...
Why Super Low Loss Amorphous Transformers are a Non-brainer for Britain’s Lea...Why Super Low Loss Amorphous Transformers are a Non-brainer for Britain’s Lea...
Why Super Low Loss Amorphous Transformers are a Non-brainer for Britain’s Lea...
 
30 11-2011 mart grid Jani Valtari Cleen Finpro seminar
30 11-2011 mart grid Jani Valtari Cleen Finpro seminar30 11-2011 mart grid Jani Valtari Cleen Finpro seminar
30 11-2011 mart grid Jani Valtari Cleen Finpro seminar
 
SMART V2G APPPLICATIONS
SMART V2G APPPLICATIONSSMART V2G APPPLICATIONS
SMART V2G APPPLICATIONS
 
Automated Network Management Solution
Automated Network Management SolutionAutomated Network Management Solution
Automated Network Management Solution
 
Island Power Generation and Demand Side Purchasing and Selling
Island Power Generation and Demand Side Purchasing and SellingIsland Power Generation and Demand Side Purchasing and Selling
Island Power Generation and Demand Side Purchasing and Selling
 
ISES 2013 - Day 2 - Tor-Eivind Moen (Technology Director, ABB) - Energy on N...
ISES 2013  - Day 2 - Tor-Eivind Moen (Technology Director, ABB) - Energy on N...ISES 2013  - Day 2 - Tor-Eivind Moen (Technology Director, ABB) - Energy on N...
ISES 2013 - Day 2 - Tor-Eivind Moen (Technology Director, ABB) - Energy on N...
 
UNMESH 2015 modified Presentation
UNMESH 2015 modified PresentationUNMESH 2015 modified Presentation
UNMESH 2015 modified Presentation
 
Closing the gap between smart metering and distribution automation with trans...
Closing the gap between smart metering and distribution automation with trans...Closing the gap between smart metering and distribution automation with trans...
Closing the gap between smart metering and distribution automation with trans...
 
Landis+Gyr Smart Grid Presentation
Landis+Gyr Smart Grid PresentationLandis+Gyr Smart Grid Presentation
Landis+Gyr Smart Grid Presentation
 
Smart Gas Meters
Smart Gas MetersSmart Gas Meters
Smart Gas Meters
 
Explaining recent renewable energy auction outcomes in Europe
Explaining recent renewable energy auction outcomes in Europe Explaining recent renewable energy auction outcomes in Europe
Explaining recent renewable energy auction outcomes in Europe
 
V2G State of the art technology
V2G State of the art technologyV2G State of the art technology
V2G State of the art technology
 
Addressing utility challenges with MV/LV Monitoring and Control Solution
Addressing utility challenges with MV/LV Monitoring and Control SolutionAddressing utility challenges with MV/LV Monitoring and Control Solution
Addressing utility challenges with MV/LV Monitoring and Control Solution
 

Semelhante a Smart Grid in Europe Presentation, IET Power in Unity Conference.

Application for phasor measurement unit
Application for phasor measurement unitApplication for phasor measurement unit
Application for phasor measurement unit
Power System Operation
 
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UKIdentifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
IMDEA Energia
 
Smart Utilities 2013 - SGSC DGDS
Smart Utilities 2013 - SGSC DGDSSmart Utilities 2013 - SGSC DGDS
Smart Utilities 2013 - SGSC DGDS
Dr Robert Simpson
 
Josep Guerrero as Keynote Speaker at ENERGYCON2014
Josep Guerrero as Keynote Speaker at ENERGYCON2014Josep Guerrero as Keynote Speaker at ENERGYCON2014
Josep Guerrero as Keynote Speaker at ENERGYCON2014
Juan C. Vasquez
 

Semelhante a Smart Grid in Europe Presentation, IET Power in Unity Conference. (20)

Engineering the power system of the future
Engineering the power system of the futureEngineering the power system of the future
Engineering the power system of the future
 
POWER ELECTRONIC IN POWER SYSTEM KELAS.pptx
POWER ELECTRONIC IN POWER SYSTEM KELAS.pptxPOWER ELECTRONIC IN POWER SYSTEM KELAS.pptx
POWER ELECTRONIC IN POWER SYSTEM KELAS.pptx
 
Mike chapman-evolution-of-the-rural-network-stand-alone-power-system-pilot
Mike chapman-evolution-of-the-rural-network-stand-alone-power-system-pilotMike chapman-evolution-of-the-rural-network-stand-alone-power-system-pilot
Mike chapman-evolution-of-the-rural-network-stand-alone-power-system-pilot
 
System Studies on interaction of HTS cables with power grids
System Studies on interaction of HTS cables with power gridsSystem Studies on interaction of HTS cables with power grids
System Studies on interaction of HTS cables with power grids
 
Ingeteam participates in round table on Power Transfer and Conversion
 Ingeteam participates in round table on Power Transfer and Conversion Ingeteam participates in round table on Power Transfer and Conversion
Ingeteam participates in round table on Power Transfer and Conversion
 
Flexible grid management solutions in UK and Switzerland
Flexible grid management solutions in UK and SwitzerlandFlexible grid management solutions in UK and Switzerland
Flexible grid management solutions in UK and Switzerland
 
Application for phasor measurement unit
Application for phasor measurement unitApplication for phasor measurement unit
Application for phasor measurement unit
 
RT15 Berkeley | Enel Distribuzione activities and Real-Time simulations exper...
RT15 Berkeley | Enel Distribuzione activities and Real-Time simulations exper...RT15 Berkeley | Enel Distribuzione activities and Real-Time simulations exper...
RT15 Berkeley | Enel Distribuzione activities and Real-Time simulations exper...
 
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UKIdentifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
 
Group 8 hvdc
Group  8 hvdcGroup  8 hvdc
Group 8 hvdc
 
Group 8 hvdc
Group  8 hvdcGroup  8 hvdc
Group 8 hvdc
 
Analysis for underground cable system, lakeside pokhara
Analysis for underground cable system, lakeside pokharaAnalysis for underground cable system, lakeside pokhara
Analysis for underground cable system, lakeside pokhara
 
Smart Utilities 2013 - SGSC DGDS
Smart Utilities 2013 - SGSC DGDSSmart Utilities 2013 - SGSC DGDS
Smart Utilities 2013 - SGSC DGDS
 
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UKIdentifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
Identifying SmartGrid Opportunities to Aid a Low-Carbon Future in the UK
 
Solar Energy Generation Potential on National Highways
Solar Energy Generation Potential on National HighwaysSolar Energy Generation Potential on National Highways
Solar Energy Generation Potential on National Highways
 
Engage with...TPS | Driving the Electric Revolution Webinar
Engage with...TPS | Driving the Electric Revolution WebinarEngage with...TPS | Driving the Electric Revolution Webinar
Engage with...TPS | Driving the Electric Revolution Webinar
 
Josep Guerrero as Keynote Speaker at ENERGYCON2014
Josep Guerrero as Keynote Speaker at ENERGYCON2014Josep Guerrero as Keynote Speaker at ENERGYCON2014
Josep Guerrero as Keynote Speaker at ENERGYCON2014
 
66kV Offshore Wind Farm - Wet Design for Higher Voltage Wind Farm Applications
66kV Offshore Wind Farm - Wet Design for Higher Voltage Wind Farm Applications66kV Offshore Wind Farm - Wet Design for Higher Voltage Wind Farm Applications
66kV Offshore Wind Farm - Wet Design for Higher Voltage Wind Farm Applications
 
Computer Networking Solutions for Energy Systems
Computer Networking Solutions for Energy SystemsComputer Networking Solutions for Energy Systems
Computer Networking Solutions for Energy Systems
 
Feasibility analysis of offshore wind power plants with DC collection grid
Feasibility analysis of offshore wind power plants with DC collection gridFeasibility analysis of offshore wind power plants with DC collection grid
Feasibility analysis of offshore wind power plants with DC collection grid
 

Mais de Smarter Grid Solutions

Mais de Smarter Grid Solutions (7)

System Level Data and Technology Requirements of REV
System Level Data and Technology Requirements of REV System Level Data and Technology Requirements of REV
System Level Data and Technology Requirements of REV
 
Managing Grid Constraints with Active Management Systems
Managing Grid Constraints with Active Management SystemsManaging Grid Constraints with Active Management Systems
Managing Grid Constraints with Active Management Systems
 
IPA Power Scotland Conference
IPA Power Scotland ConferenceIPA Power Scotland Conference
IPA Power Scotland Conference
 
Approaches to the Integration and Management of Distributed Energy Resources
Approaches to the Integration and Management of Distributed Energy ResourcesApproaches to the Integration and Management of Distributed Energy Resources
Approaches to the Integration and Management of Distributed Energy Resources
 
Integrating Multiple Microgrids into an Active Network Management System
Integrating Multiple Microgrids into an Active Network Management SystemIntegrating Multiple Microgrids into an Active Network Management System
Integrating Multiple Microgrids into an Active Network Management System
 
Smarter Grid Solutions Company Overview
Smarter Grid Solutions Company OverviewSmarter Grid Solutions Company Overview
Smarter Grid Solutions Company Overview
 
CIGRE Belgium presentation on Actively Managing Distribution Connected Genera...
CIGRE Belgium presentation on Actively Managing Distribution Connected Genera...CIGRE Belgium presentation on Actively Managing Distribution Connected Genera...
CIGRE Belgium presentation on Actively Managing Distribution Connected Genera...
 

Último

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Último (20)

Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 

Smart Grid in Europe Presentation, IET Power in Unity Conference.

  • 1. Smart Grid in Europe Graham Ault Smarter Grid Solutions London 16th October 2013 Essential Engineering Intelligence 1
  • 2. Overview  European smart grid landscape:    Vision and roadmap: European Electric Grid Initiative (EEGI) Standardisation and development: Smart Grid Architecture Model (SGAM) Whole system smart grid implications:    Ireland United Kingdom Belgium Essential Engineering Intelligence 2
  • 3. The European Smart Grid Landscape EERA CIGRE CENELEC ENTSO-E ETP SmartGrids CIRED EURELECTRIC CEER/ACER EDSO4SG EU/EC ERA-NET Essential Engineering Intelligence 3
  • 4. European Electricity Grid Initiative (EEGI)  ‘Research & Innovation Roadmap’ and ‘Implementation Plan’  Key challenges:    http://www.smartgrids.eu/European -Electricity-Grid-Initiative    Development of renewable generation at transmission level Implementing new network infrastructures Transition from aging fossil-fuelled plant to small residential PV and large scale wind Power electronics for generation and grid Transmission-Distribution interface issues Grid supporting market development Essential Engineering Intelligence 4
  • 5. ‘System of Systems’ Essential Engineering Intelligence 5
  • 6. EEGI: Innovation Roll-Out Essential Engineering Intelligence 6
  • 7. Research and Innovation Plan Essential Engineering Intelligence 7
  • 8. Smart Grid Architecture Model (SGAM)  Standardisation framework requested as EU directive:      Means to communicate in a common view/language about system context with industry, customers and regulators Integration of various existing state-of-the-art approaches into one model with additional European aspects Methods to serve as a basis to analyse and evaluate alternative implementations of an architecture Support for planning for transition from an existing legacy architecture to a new smart grid-driven architecture Criteria for properly assessing conformance with identified standards and given interoperability requirements. Essential Engineering Intelligence 8
  • 9. Smart Grid Architecture Model Essential Engineering Intelligence 9
  • 10. Example: DER Reactive Power Control Essential Engineering Intelligence 10
  • 11. SGAM: Use Case Mapping Essential Engineering Intelligence 11
  • 12. SGAM: Component Layer Essential Engineering Intelligence 12
  • 13. SGAM: Business Layer Essential Engineering Intelligence 13
  • 14. SGAM: Functional layer and design Essential Engineering Intelligence 14
  • 15. SGAM: Business  Information Layer Essential Engineering Intelligence 15
  • 16. SGAM: Information Layer Essential Engineering Intelligence 16
  • 17. SGAM: Communications layer and options Essential Engineering Intelligence 17
  • 18. Ireland: Wind power voltage support Paul Cuffe, Paul Smith, Andrew Keane  Large distribution connected wind power portfolio  Erosion of ‘traditional’ generation voltage support capability  Exploration of aggregated resource capability of wind power from DSO to TSO network  Need to integrate results into transmission planning Essential Engineering Intelligence 18
  • 19. Reactive support from Distributed Wind Generation Cuffe, P: ‘Reactive Power From Distributed Generators: Characterisation And Utilisation Of The Resource’, PhD Thesis, 2013. Essential Engineering Intelligence 19
  • 20. Wind power voltage support (Qnet) here     Each generator locally maximising reactive power Dispatch active power to minimize total reactive support Minimize reactive power injection into transmission system: min (Qnet) Find the worst combination of active power flows that may align to hinder reactive power provision Essential Engineering Intelligence 20
  • 22. Capability with enhanced LDC Essential Engineering Intelligence
  • 23. United Kingdom Accelerating Renewable Connections (ARC)   Scottish Power Distribution £8M+ LCNF T2 Project Aims to offer faster, more economic DG connections via:  A new connections process;  The use of smart interventions to accelerate connections – Active Network Management and other Technologies; and  ANM-enabling GSPs approaching capacity ahead of need. Essential Engineering Intelligence 23
  • 24. ANM-enabled Grid Supply Point ANM-enabled Grid Supply Point ANM-enabled Grid Supply Point Essential Engineering Intelligence 24
  • 25. Circuit Rating: Summer: 90MVA Spring/Autumn: 100MVA Winter: 110MVA Circuit Rating: Summer: 90MVA Spring/Autumn: 100MVA Winter: 110MVA 132/33kV 60MVA 132/33kV 60MVA Export Capacity Exceeded during low demand/max output GSP Overload Tripping Scheme Wind Farm A 48 MW Wind Farm B 62.5 MW Max Demand: 36.5MW Min Demand: ~10MW New EFW 27.5MW Essential Engineering Intelligence 25
  • 26. Reinforcement Options Circuit Rating: Summer: 90MVA Spring/Autumn: 100MVA Winter: 110MVA Circuit Rating: Summer: 90MVA Spring/Autumn: 100MVA Winter: 110MVA 132/33kV 90MVA 132/33kV 90MVA Transformer Replacement GSP Overload Tripping Scheme Wind Farm A 48 MW Wind Farm B 62.5 MW New EFW 27.5MW Max Demand: 36.5MW Min Demand: ~10MW Essential Engineering Intelligence 26
  • 27. Reinforcement Options Circuit Rating: Summer: 160MVA Circuit Rating: Summer: 160MVA 132/33kV 60MVA 132/33kV 60MVA GSP A Board Wind Farm B 62.5 MW 50% Existing Demand 132/33kV 90MVA Additional Transformers + Reinforcement of 132kV GSP B Board Wind Farm A 48MW New EFW 27.5MW 50% Existing Demand Essential Engineering Intelligence 27
  • 28. Circuit Rating: Summer: 90MVA Spring/Autumn: 100MVA Winter: 110MVA Circuit Rating: Summer: 90MVA Spring/Autumn: 100MVA Winter: 110MVA ANM Alternative 132/33kV 60MVA 132/33kV 60MVA DNP3/ICCP DNP3 Existing Comms GSP DNP3 Overload Tripping Scheme Wind Farm A 48 MW Wind Farm B 62.5 MW Max Demand: 36.5MW Min Demand: ~10MW New EFW 27.5MW Essential Engineering Intelligence 28
  • 29. ARC – Challenges at the DNO/TO/SO Boundary      Multiple Stakeholders New Commercial Agreements Understanding the impact on system security Understanding the visibility required by the SO New Planning/Operational Planning tools required Essential Engineering Intelligence 29
  • 30. Belgium: East Loop Comblain 62 MVA 70.360 62 MVA 70.359 84 MVA 0.9 km 298 AMS 30 MVA 10 MVA 20 MVA T2A 3.9 km 93 AMS 11 MVA 15.7 kV 15.47 Bütgenbach 20 MVA 41 MVA T2 15.7 kV 9.6 km 93 AMS 70.329 T1 110 MVA T4 300 MVA T1 T3 20 MVA Amel Brume 380 kV 90 MVA 33 MVA 7.3 km 148 AMS 70.330 41 MVA 13 MVA 13 MVA 70.325 160 MVA T2 Overloaded circuit (N-1) 20 MVA 48 MVA 70.328 (55 MVA) 60 MVA T11 T1 Essential Engineering Intelligence T2 T1 22 MVA 40 MVA 40 MVA T3 15.8 kV Out of service planned on 2015 15.1 km 148 AMS 15.8 kV 18.5 km 148 AMS Cierreux 20 MVA 12 MVA T2 15.6 kV 510 MVA 0.3 km 2x 298 AMS 48 MVA 70.327 (55 MVA) 220.504 22 km 1000 AluPRC 97 MVA 70.363 27.5 km 2x 298 AMS 220.504 510 MVA T1 14 MVA St Vith Brume 220 kV Villeroux 220 kV 18 MVA T2B 0.8 km 2x 298 AMS Hydroelectric Switch (disconnector) Circuit breaker 15.8 kV HY 2.5 MVA 70.332 T1 East Loop T3 10 MVA Stephanshof Trois-Ponts Legend 10.1 km 93 AMS Coo T2 6 kV HY 70.331 84 MVA 6.9 km 298 AMS 70.350 16.5 km 182 AMS T1 18 MVA 41 MVA 62 MVA Bronrome Rimière http://www.cired.net/publications/cired2011/part1/paper s/CIRED2011_0316_final.pdf Pepinster Beverce 70.362 HY 70.360 24.1 km 182 AMS Romsée 220 kV 36 MVA 6.4 km 48 Cu 70.351 T8 Soiron 15.6 kV 11.2 km 93 AMS 41 MVA 70.349 HY 5 MVA Bomal Romsée 70 kV 10.3 km 182 AMS 13 MVA T1 6 kV 4.5 km 182 AMS 13 MVA Heid de Goreux 70 kV T2 127 MVA  DG growth creating bidirectional flows creating congestion on Trans (70kV) and Dist (15kV) networks  TSO and DSO collaboration and data exchange required to safeguard system  Active Network Management proposed TurboJet IBV 18 MVA 25 MVA 6 kV Houffalize 70 kV Spanolux 8.4 MVA 30
  • 31. Belgium: East Loop Comblain 62 MVA 70.360 62 MVA 70.359 84 MVA 0.9 km 298 AMS 30 MVA 10 MVA 20 MVA T2A 3.9 km 93 AMS 11 MVA 15.7 kV 15.47 Bütgenbach 20 MVA 41 MVA T2 15.7 kV 9.6 km 93 AMS 70.329 T1 110 MVA T4 300 MVA T1 T3 20 MVA Amel Brume 380 kV 90 MVA 33 MVA 7.3 km 148 AMS 70.330 41 MVA 13 MVA 13 MVA 70.325 160 MVA T2 Overloaded circuit (N-1) 20 MVA 48 MVA 70.328 (55 MVA) 60 MVA T11 T1 T2 T1 22 MVA 40 MVA 40 MVA T3 15.8 kV Out of service planned on 2015 15.1 km 148 AMS 15.8 kV 18.5 km 148 AMS Cierreux 20 MVA 12 MVA T2 15.6 kV 510 MVA 0.3 km 2x 298 AMS 48 MVA 70.327 (55 MVA) 220.504 22 km 1000 AluPRC 97 MVA 70.363 27.5 km 2x 298 AMS 220.504 510 MVA T1 14 MVA St Vith Brume 220 kV Villeroux 220 kV 18 MVA T2B 0.8 km 2x 298 AMS Hydroelectric Switch (disconnector) Circuit breaker 15.8 kV HY 2.5 MVA 70.332 T1 East Loop T3 10 MVA Stephanshof Trois-Ponts Legend 10.1 km 93 AMS Coo Rimière T2 6 kV HY 70.331 84 MVA 6.9 km 298 AMS 16.5 km 182 AMS T1 18 MVA 41 MVA 62 MVA Bronrome 70.350 Pepinster Beverce 70.362 HY 70.360 24.1 km 182 AMS Romsée 220 kV 36 MVA 6.4 km 48 Cu 70.351 T8 Soiron 15.6 kV 11.2 km 93 AMS 41 MVA 70.349 HY 5 MVA Bomal Romsée 70 kV 10.3 km 182 AMS 13 MVA T1 6 kV 4.5 km 182 AMS 13 MVA Heid de Goreux 70 kV T2 127 MVA  TSO takes lead in calculating constraint actions  Control link planned between DSO and TSO SCADA systems.  Grid Code changes required  Market and regulation changes identified  Commercial arrangements required: TSO, DSO, DG TurboJet IBV 18 MVA 25 MVA 6 kV Houffalize 70 kV Spanolux 8.4 MVA Essential Engineering Intelligence 31
  • 32. Summary  Major European efforts on coordination, stimulus and standardisation  Clear market statements of need (e.g. EEGI)  Tools to underpin innovation and integration are promising (e.g. SGAM)  Real smart grid initiatives provide clear indications of whole system approaches spanning the physical system and across multiple actors Essential Engineering Intelligence 32