Wind farm energy storage capacity optimization based on PSO

Wind power has great influence on power system because of fluctuation and intermittency. Thus, the storage technology is applied to smooth the fluctuation of wind power, and a model of wind farm energy storage capacity optimization is proposed in the paper. The objectives of this optimization model are to maximize utilization of wind power and minimize cost of energy storage infrastructure. Due to antagonistic relations between goals, compromised processing method is used to realize the overall benefit of wind farm. Particle Swarm Optimization (PSO) algorithm is used to solve the model rapidly and accurately. The storage capacity optimization of case system indicates that the model could smooth wind power by smaller cost and larger utilization of wind power.