Application of genetic algorithm to improve voltage regulation of self-excited induction generator in a wind energy conversion system

Authors:
Dheeraj Joshi;K. S. Sandhu;M. K. Soni
Affiliations:
Electrical Engg. Dept., National Institute of Technology, Kurukshetra, Haryana 136119, India.;Electrical Engg. Dept., National Institute of Technology, Kurukshetra, Haryana 136119, India.;C.R. State College of Engineering, Murthal, Sonipat, Haryana, India
Venue:
International Journal of Intelligent Systems Technologies and Applications
Year:
2007

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Abstract

Self-excited induction generators have been found to be mostsuitable for wind energy conversion in remote locations. In thispaper, an attempt has been made to improve the voltage regulationof self-excited induction generator (SEIG) using seriescompensation. A new methodology has been developed to compute thegenerated frequency (a), magnetising reactance (Xm),shunt capacitance (Csh) and series capacitance(Cse), using Genetic Algorithm (GA). Computed resultsusing proposed modelling have been compared with experimentalresults. A close agreement between the computed and experimentalresults confirms the validity of the approach adopted.