The paper deals with the steady state analysis of

self-excited induction generator using Genetic Algorithm, Pattern

Search and Quasi-Newton optimization techniques. The

performance of an induction generator, maintaining a constant

terminal voltage is analyzed under resistive loads. Further the

paper deals with effects of various system parameters on the

steady state performance of an induction generator. Simulated

results obtained various optimization techniques are

compared graphically. The comparison of results, had lead to

their comparative importance.-The paper deals with the steady state analysis of

self-excited induction generator using Genetic Algorithm, Pattern

Search and Quasi-Newton optimization techniques. The

performance of an induction generator, maintaining a constant

terminal voltage is analyzed under resistive loads. Further the

paper deals with effects of various system parameters on the

steady state performance of an induction generator. Simulated

results obtained　various optimization techniques are

compared graphically. The comparison of results, had lead to

their comparative importance.