Chaotic PSO for computing DOPF of power systems with VSCFGs wind farms

Abstract

The deterioration of natural environment and exhaustion of conventional energy resources necessitate the use of clean renewable energy. Environmentally-friendly and renewable, wind energy is the world's fastest growing energy. Variable speed constant frequency generators(VSCFGs) are widely used in power systems with wind farms. Regarding valve-point effect of conventional generators, dynamic optimal power flow (DOPF) in VSCFGs wind farms integrated power systems is a typical complex multi-constrained non-convex non-linear programming problem. DOPF mode is established. The use of chaotic sequences in the traditional particle swarm optimization (PSO) algorithm can be helpful to escape more easily from local minima than can be done through PSO. This paper provides chaotic particle swarm optimization (CPSO) approaches for computing the established DOPF model. Simulation result showed that the proposed method is capable of yielding higher quality solutions.