An adaptive PSO algorithm for reactive power optimization

Abstract

The particle swarm optimization (PSO) algorithm is a new evolutionary computation method. It has been proved to be powerful but needs parameters predefined for a given problem by users. An adaptive particle swarm optimization (APSO) algorithm is proposed in this paper. It can adjust parameters automatically in optimization process to find the global optimum. Two power systems, the IEEE 30-bus system and a practical 125-bus power system with 64 control variables, have been tested. Simulation results of the proposed approach, compared with PSO algorithm, show that the APSO algorithm is more efficient in searching global optimization solution.