Genetic Algorithm based Steady-State Analysis of Three-Phase Self-Excited Induction Generators
S. Singaravelu1, S. Sasikumar2

1S. Singaravelu, Department of Electrical Engineering, Annamalai University, Chidambaram, India.
2S. Sasikumar, Department of Electrical Engineering, Annamalai University, Chidambaram, India.

Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 465-467 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0566042212/2012©BEIESP
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Abstract: This paper presents a genetic algorithm based steady-state analysis of a three-phase self-excited induction generator (SEIG) for wind energy conversion. A generalized mathematical model based on inspection is developed for a three-phase induction generator for steady-state analysis. The proposed mathematical model is quite general in nature and can be implemented for any type of load such as resistive or reactive load. The proposed model completely avoids the tedious work of segregating real and imaginary components of the complex impedance of the equivalent circuit. Also, any equivalent circuit component can be easily included or eliminated from the model, if required. To carry out the steady-state analysis of SEIG, a genetic algorithm approach is used to find the unknown variables using the proposed model. The parameter sensitivity analysis of the generator is also carried out. The computed performance characteristics of the machine are compared with the experimentally obtained values on a laboratory machine, and a good correlation is observed.

Keywords: Genetic algorithm, Induction generator, Self-excitation, Steady-state analysis.