Power System Analysis

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Dr.NAGARAJAN. S

Unit-4 Unsymmetrical fault Analysis

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Power System Analysis

Dr.NAGARAJAN. S

Power System Analysis

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Finite element method is more precise than the winding function approach, as it is based on the actual geometry of the machine and the machine model can easily be modified in order to study the effect of faults on the machine’s performance. Accurate models of the machine under healthy and faulty conditions are developed. This paper presents simulations of broken bars detection in a three phase squirrel cage induction motor under no load, half load and full load conditions for two and eight broken bars. The analysis is done using MagNet.

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In this paper, a new multiport, hybrid green-fed DC-DC bidirectional converter is designed and fed into the standalone system. This model is developed and integrated to study the concept of generating systems. In this model, a PV panel of 300 watts is designed and integrated to a bidirectional converter with a battery backup to extract power, while the wind power is harnessed with a transformer coupled a dual-half-bridge converter. The model proposed is designed with a meritorious objective of sustainable, cost-effective, less component count reduced losses, and good efficiency with a good relia- bility. The system works day and night to produce output with good efficiency. The simulation results are obtained using MATLAB software 2014a, and hence, the performance is analyzed.

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Medical imaging plays a vital role in medical diagnosis and treatment. However, distinct imaging modality yields information only in limited domain. Studies are done for analysis information collected from distinct modalities of same patient. This led to the introduction of image fusion in the field of medicine and the progression of image fusion techniques. Image fusion is characterized as the amalgamation of significant data from numerous images and their incorporation into seldom images, generally a solitary one. This fused image will be more instructive and precise than the indi- vidual source images that have been utilized, and the resultant fused image comprises paramount information. The main objective of image fusion is to incorporate all the essential data from source images which would be pertinent and comprehensible for human and machine recognition. Image fusion is the strategy of combining images from distinct modalities into a single image [1]. The resultant image is utilized in variety of applications such as medical diagnosis, identification of tumor and surgery treatment [2]. Before fusing images from two distinct modalities, it is essential to preserve the features so that the fused image is free from inconsistencies or artifacts in the output.

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Recent developments in intelligent control methods and power electronics have amended PhotoVoltaic (PV) based DC to AC converters related to AC drives. Interleaved cuk converter and inverter find their way in interconnecting PV and Induction Motor Drive (IMD). Simulation studies were done for closed loop InterLeaved Cuk Converter and Inverter fed Induction Motor Drive (ILCCIIMD) systems with conventional and intelligent controllers. These studies were carried out using MATLAB simulink based models for ILCCIIMD. For production of DC- voltage in the input of the inverter, PV fed InterLeaved Cuk-regulator is recommended. Cuk-regulator is utilized for enhancing the output of the PV system. Closed loop Proportional-Integral (PI), Proportional- Resonant(PR) and Fuzzy-Logic(FL) controlled ILCCIIMD systems are simulated and their outcome like dynamic responses and torque ripple are related for an Electric Vehicle(EV) application. The proposed IL- CCIIMD system with FLC is found to have better dynamic characteristics and lesser torque ripple when compared to the system with conventional controller.

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Three phase induction motors are complex electro-mechanical devices widely used in most industrial applications. Induction motors are susceptible to many types of fault in industrial application such as rotor bar broken fault, stator inter turn fault, eccentricity fault. Out of these faults eccentricity is very specific in squirrel cage induction motor. If the initial stage of motor failure is not identified will cause the severe damage and production shutdowns. This paper presents the simulations of eccentricity fault detection in three phase squirrel cage induction motor under various load conditions for healthy and faulty conditions. In this paper, dynamic model of induction motor is developed using CAD package called MagNet for static and transient 2D analysis. The various machine parameters like stator current, magnetic flux density, and magnetic torque are calculated and their values are compared under healthy and faulty conditions.

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