计及峰谷平滑效益的需求响应和电池储能系统调度联合优化策略

Joint optimization strategy of demand response and battery energy storage system dispatch considering peak-valley smoothing benefit

现有需求响应决策未考虑储能调度等影响因素,电池储能运营商基于固定需求响应结果进行储能调度决策,联合优化结果难以使系统获得最优综合效益。为此,建立了需求响应和电池储能系统调度联合优化机制以及基于联合优化策略的需求响应和电池储能系统调度决策模型。采用基于离散参数规划的线性优化策略,以等步长形式迭代求解非线性优化模型的最优分时电价和最优储能调度策略;建立基于联合优化策略的峰谷平滑效益模型,用于评估电力系统削峰填谷的单位成本。算例分析结果表明,所提需求响应和电池储能调度联合优化策略能有效削峰填谷并提高系统整体的经济性。

The existing demand response decision does not consider the influence factors such as energy storage dispatch,and the battery energy storage operators make energy storage dispatch decisions based on the fixed demand response results,so it is difficult for the system to obtain the optimal comprehensive benefits from the joint optimization results.Therefore,the joint optimization mechanism of demand response and battery energy storage system dispatch and the decision model of demand response and battery energy sto-rage system dispatch based on the joint optimization strategy are established.A linear optimization strategy based on discrete parameter programming is adopted to iteratively solve the optimal time-of-use electricity price and energy storage dispatch strategy of the nonlinear optimization model in the form of equal step size.A peak-valley smoothing benefit model based on the joint optimization strategy is established to eva-luate the unit cost of peak load shifting in power system.The simulative results show that the proposed joint optimization strategy of demand response and battery energy storage dispatch can effectively realize peak load shifting and improve the overall economy of the system.