Performance Analysis of Three-Phase Self-Excited Induction Generator Using Genetic Algorithm

Joshi, Dheeraj; Sandhu, K. S.; Soni, M. K.

doi:10.1080/15325000500346800

Cited by 24 publications

(24 citation statements)

References 13 publications

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“…The simulated results are obtained by using GA toolbox on machine with specifications given in Appendix, Table 1 gives the details of each data set taken on test machine the range of speed and value of terminal capacitance have been chosen to enable the machine to supply power to the connected load at rated voltage. The resistive load is not sensitive to the changes in frequency.…”

Section: System Results and Simulationmentioning

confidence: 99%

“…These machines can be used to meet the local demand of remote areas in the absence of a grid. SEIG has many advantages such as simple construction, absence of DC power supply for excitation, reduced maintenance cost, good over speed capability self short-circuit protection capability and no synchronizing problem [1]. In the last two decades self excited induction generator has attached considerable attention due to its application as a standalone generator using conventional and non conventional energy sources.…”

Section: Introductionmentioning

confidence: 99%

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Genetic Algorithm Based Performance Analysis of Self Excited Induction Generator

Ibrahim¹,

Metwaly²

2011

ENG

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This paper investigates the effects of various parameters on the terminal voltage and frequency of self excited induction generator using genetic algorithm. The parameters considered are speed, capacitance, leakage reactance, stator and rotor resistances. Simulated results obtained using genetic algorithm facilitates in exploring the performance of self-excited induction generator. The paper henceforth establishes the application of user friendly genetic algorithm for studying the behaviour of self-excited induction.

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Section: System Results and Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Based Performance Analysis of Self Excited Induction Generator

Ibrahim¹,

Metwaly²

2011

ENG

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“…Using such a matrix representation, one can obtain the instantaneous voltages and currents during the self-excitation process, as well as during load variation. The dynamic model of the three-phase squirrel cage induction generator is developed by using stationary d-q axes references frame and the relevant volt-ampere equations are as[5]- [6]: (1) From which, the current derivative can be expressed as: (2) Where , , , and defined below: …”

Section: Mathematical Model Of the Self Excited Induction Generatormentioning

confidence: 99%

“…The fundamental problem with using the SEIG is its inability to control the terminal voltage and frequency under varying load conditions. The analysis of the SEIG under steady-state conditions and imposed speed is already known [1]- [2]. Active Power Filters (APF) are often used in applications where low current harmonics are desirable and/or improvement of quality of energy taken from the power grid are needed with the use of APF, it is possible to draw near perfect sinusoidal currents and voltages from the grid or renewable distributed power sources, where the shape of currents and voltages should be very close to sinusoidal.…”

Section: Introductionmentioning

confidence: 99%

Alleviation of Harmonics for the Self Excited Induction Generator (SEIG) Using Shunt Active Power Filter

Bouzid¹

2013

EPES

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Abstract:The Self Excited Induction Generator (SEIG) is an isolated power source, whose terminal voltage and frequency are controlled by the excitation of capacitance or the load impedance. A new strategy based on an active power filter (APF) for controlling the current and power quality of the self-excited induction generator (SEIG) is also presented in this paper. The proposed active filter proved to play an important role and give good dynamic response and robust behavior upon changes in load parameters. This investigation demonstrated that power average control strategy can facilitate the improvement of the power quality. This control method extracts fundamental (reference) components of the source current for the shunt active power line conditioners for nonlinear loads and unbalanced loads. The shunt APF in conjunction with the proposed controller perform perfectly under different steady state and transient conditions. The simulation results with nonlinear loads and unbalanced loads have showed the effectiveness of the proposed scheme for harmonic reduction in Wind based Power Generation.

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“…A huge number of journal publications has so far been dedicated to the steady-state analysis of an isolated threephase SEIG with three-phase balanced load [3][4][5][6][7][8][9][10][11][12][13][14]. The performance of a SEIG is usually determined through its equivalent circuit.…”

mentioning

confidence: 99%

Steady-State Analysis of Parallel-Operated Self-Excited Induction Generators Supplying an Unbalanced Load

Radosavljević¹,

Klimenta²,

Jevtić³

2012

Journal of Electrical Engineering

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This paper proposed a multi-objective genetic algorithm (MOGA) based approach for determining the steady-state performance characteristics of three-phase self-excited induction generators (SEIGs) operating in parallel and supplying an unbalanced load. The symmetrical component theory is used for the transformation of a complex three-phase generatorscapacitances-load system to a simple equivalent circuit. The MOGA has been employed for the determination of unknown variables by minimizing the impedance module of the equivalent circuit. Using this approach, effects of various parameters on the terminal voltage control characteristics are examined for two parallel SEIGs with C2C connection under a single phase load.K e y w o r d s: induction generator, self-excitation, parallel operation, voltage control, multi-objective genetic algorithm

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Performance Analysis of Three-Phase Self-Excited Induction Generator Using Genetic Algorithm

Cited by 24 publications

References 13 publications

Genetic Algorithm Based Performance Analysis of Self Excited Induction Generator

Genetic Algorithm Based Performance Analysis of Self Excited Induction Generator

Alleviation of Harmonics for the Self Excited Induction Generator (SEIG) Using Shunt Active Power Filter

Steady-State Analysis of Parallel-Operated Self-Excited Induction Generators Supplying an Unbalanced Load

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