Optimal Sizing of Hybrid Wind-Storage System for Load Shifting

With the increasing penetration of renewable energy in power system, energy storage systems (ESSs) are expected to undertake the responsibility for load shifting, so as to reduce the burden of traditional generators. However, the improper size of an ESS will lead to an undesired cost even cause instability. In order to maximize total profits of hybrid wind-storage systems, an economic sizing method for an ESS is proposed in this paper, considering the cycle life loss of an ESS To address above, the particle swarm optimization algorithm is employed to jointly optimize the capacity of an ESS and the coefficient of load shifting. With the help of the proposed method, both the operation cost and greenhouse gas emissions of the hybrid wind-storage system are reduced. The simulation results demonstrate the effectiveness of proposed method.