储能电站在多站融合场景下的运行策略优化

Operation Strategy Optimization of Energy Storage Power Station in Multi-Station Integration Scenario

为降低多站融合的运行费用,提升多站融合的经济性,充分发挥储能电站的价值,保证储能电站经济运行,构建储能电站的寿命模型、边缘数据中心和充电站的负荷模型、电储能交易模型,采用双层优化方法,通过粒子群优化算法,提出储能电站在多站融合中发挥多重功能的复杂场景下优化运行策略。结果表明:在电价相同的连续时段组内,储能电站以相同的倍率充放电为最佳运行策略;在不同电价的时段组间,储能电站的最佳运行策略由分时电价、电池寿命特性和多站负荷特性共同决定。通过算例验证了目前常见的运行策略并非最佳。

In order to reduce the operation cost of multi-station integration,improve the economy of multi-station integration,give full play to the value of energy storage power station,and ensure the economic operation of energy storage power station.In this paper,the life model of energy storage station,the load model of edge data center and charging station,and the energy storage transaction model are constructed.By using the method of two-level optimization and particle swarm optimization algorithm,the optimal operation strategy of energy storage station in the complex scene of multi-function in multi station fusion is proposed.The simulation results show that the optimal operation strategy of energy storage power station is the same rate of charge and discharge in the same continuous period group with the same electricity price;among the groups with different electricity prices,the optimal operation strategy of energy storage power station is determined by the time-sharing electricity price,battery life characteristics and load characteristics of multiple stations.The case study shows that the current simple operation strategy is not the best.