Performance analysis of self excited induction generator using Artificial Bee Colony algorithm

This paper presents the steady state analysis of self-excited induction generator (SEIG) using novel Artificial Bee Colony (ABC) optimization technique. The proposed ABC algorithm is used to minimize the total admittance of the induction machine to get frequency and magnetizing reactance corresponding to any rotor speed, load impedance and excitation capacitance. Optimized parameters obtained are applied to determine the performance of SEIG. The results obtained by ABC algorithm is compared with results from numerical method. The results obtained coincide with the numerical method results. This technique proves to be efficient in solving nonlinear constrained optimization problems and analyzing the performance of SEIG.