Based on the uncertainty surrounding the temporal correlation of wind power forecast error, an energy storage system (ESS) is applied to both a peak shaving mode and a plan following mode, and a multimode optimization model for a wind‐storage integrated system is proposed. Considering the large-scale mixed integer programming (MIP) problem, a peak shaving coefficient of ESS capacity and a two layer optimization algorithm is proposed. Thus, the problem can be solved iteratively, and capacity allocation can be evaluated in different modes. The simulation results show that pool purchase price, penalty price and the stochastic characteristics of wind power influence the optimal operation of a wind‐storage integrated system. The proposed model can realize reasonable allocation and efficient utilization of limited ESS capacity.
Keywords wind‐power integrated system, temporal correlation of wind power, multimode coordination, peak shaving coefficient, sensitivity analysis