Particle Swarm Algorithm Based Economic Scheduling Strategy for Pumped Storage Wind Farms

With the goal of maximizing the benefits of Contained Storage wind farm, a particle swarm algorithm based simulation analysis is proposed for the optimized operation of Contained Storage wind farm . The simulation results show that the optimized operation and power supply of Contained Storage Wind Farm not only improves the benefit of the wind farm, but also smoothes the power output of the wind farm, which will be helpful to increase the share of wind power in the power system.