Abstract:To solve the problem of power fluctuation caused by the large-scale connection of wind farms with power grid, two quite different operating strategies for the wind-pumped storage system (WPSS) are proposed. Based on the operating characteristics of the pumped-storage unit, two optimal scheduling models of wind-storage coordination strategy are established. In strategy 1, the objective is to minimize the wind abandon and optimize the system peak regulating effect. In Strategy 2, the objective is to minimize fluctuation of WPSS. By using binary encoding technique, the binary particle swarm optimization（BPSO）algorithm is successfully applied in the scheduling optimization for the WPSS, which can well solve the model constraints using heuristic modification and exterior penalty function method. To verity the validity of the proposed WPSS operating strategies, a test system is presented, which includes thermal power units, pumped-storage units and wind farms with different installed capacities. The test result show that two operating strategies proposed in this paper can both smooth the wind power fluctuations. Furthermore, by comparing the operating cost, the control characteristics and applicable conditions of the two wind storage coordination strategies are summarized.