MULTIOBJECTIVE OPTIMAL DESIGN OF PASSIVE AND HYBRID ACTIVE POWER FILTER BASED ON BACTERIAL FORAGING OPTIMIZATION ALGORITHM

Abstract

An optimal design method for passive power filters (PPFs) and hybrid active power filters (HAPFs) set at high voltage levels to improvements of Harmonic filtering and reactive power compensation is presented in this paper. To best study and vantage optimization multi objective optimization models for PPF and HAPF were used. In this paper, a bacterial foraging algorithm (BFA) aimed for solve the multi objective optimization problems for the designs of PPF and HAPF. The proposed algorithm is improved the reliability and practicability of the designed filters. For indicate performance and primacy of the proposed method, that results compared whit results of particle swarm optimization algorithm.