Performance Analysis of Self-Excited Induction Generator Using Simulated Annealing Algorithm

Abstract

The utilization of simulated annealing algorithm (SAA) for the analysis of a self-excited induction generator (SEIG) is presented in this paper. The results obtained are compared with the corresponding results acquired by genetic algorithm approach. The SAA results are also validated by experimental test results. The present investigation proves that SAA is an accurate and simple technique to evaluate the performance of SEIG under different operating conditions. The other remarkable feature of the proposed approach is the possibility to obtain the performance of SEIG feeding a static or dynamic load. This is due to the capability of SAA to extract more than two unknown parameters using one optimization function.