Multi-Objective Solution Based on Various Particle Swarm Optimization Techniques in Power Systems

Abstract

A proposed optimization technique based on fuzzy logic and particle swarm is presented in this paper. This technique is referred to as Fuzzy Adaptive Particle Swarm Optimization (FAPSO). In this technique, the fuzzy logic is employed to adjust the parameters of the particle swarm. The proposed technique is applied to the IEEE-30-bus-system model along with previous optimization methods to obtain a multiobjective solution to the voltage control, the voltage deviation, and the real power loss problems in power systems. The multi-objective problem is subjected to the same constraints for all methods and a comparison between the results obtained by various methods is presented. It has been demonstrated that the results of the proposed technique superseded that of all previous optimization technique methods.