Performance Analysis of Induction Generator Using Computational Technique

Abstract

This paper probe about the performance analysis of the Self Excited Induction Generator feeds to linear load for various operating speed condition, capacitance and load condition using Particle swarm optimization (swarm intelligence) which has the advantage of reduced complexity and improved accuracy in solving the equations, the swarm intelligence is investigated for comparing that with the conventional method and Genetic algorithms in order to evaluate the performance of SEIG.