Reactive Power Dispatch Based on Self-Adaptive Differential Evolution Hybrid Particle Swarm Optimization

Abstract

Reactive power dispatch, which may have many local optima, is an important and challenging task in the operation and control of electric power system. This paper presents a Selfadapti ve Differential Evolution hybrid Particle Swarm (SaDEPS) optimization algorithm for optimal reactive power dispatch problem. In this method, each particle is updated by a randomly selected strategy from a candidate pool, which contains strategies with different searching behaviors. SaDEPS applied to optimal reactive power dispatch is evaluated on IEEE 14-bus system. The numerical results, show that SaDEPS could find high-quality solutions with higher convergence speed and probability. Keywords-reactive power dispatch; particle swarm optimization (PSO); self-adapting hybrid strategy; global optimization; differential Evolution (DE)