Abstract：To mitigate the power fluctuation of wind farm and make full utilization of wind energy, a multi-objective coordinated scheduling model of wind-storage hybrid system with wind power and pumped water power storage is built. The smoothness of the output power and the maximum benefit from this system are taken as the optimization object. A virtual ideal molecular based on multi-objective improved particle swam optimization algorithm (PSO) is proposed,and the established model is solved by the proposed algorithem. Results of calculation example show that the output fluctuation of wind-storage generation can be effectively suppressed and the income of wind-storage hybrid system can be increased.
代兵琪, 王哲, 李春生. 基于改进粒子群算法的风储联合系统多目标协同调度[J]. 电气技术, 2015, 16(12): 22-25.
Dai Bingqi, Wang Zhe, Li Chunsheng. Multi-Objective Coordinated Scheduling of Wind-storage Hybrid System based on Improved Particle Swam Optimization Algorithm. Electrical Engineering, 2015, 16(12): 22-25.
2015, Vol. 16 
