Multi-objective voltage control and reactive power optimization based on multi-objective particle swarm algorithm

Abstract

This paper presents multi-objective particle swarm optimization (MOPSO) for voltage control and reactive power optimization. The optimization objective is to minimize active power loss and improve power system voltage profiles can be achieved by controlling a number of control variables such as generator voltages, transformer tap ratios and shunt capacitors, etc. A Fuzzy membership function is used to obtain the best compromise solution out of the available Pareto-optimal solutions. The results MOPSO are compared to the multi-objective genetic algorithm (MOGA), genetic algorithm (GA) and Particle Swarm Optimization (PSO). The IEEE 14 bus and IEEE 30 bus standards systems were used as test systems to demonstrate the applicability and efficiency of the proposed method.