计及配电网经济性与可靠性的电池储能系统优化配置

经济性和可靠性是储能系统优化配置过程中必须考虑的2项指标，但往往不能同时达到最优。为协调二者之间的矛盾，建立了同时考虑经济性和可靠性的多目标电池储能系统优化配置模型。首先针对目前含储能元件系统，可靠性评估方法复杂、计算速度慢的现状，提出了一种含储能系统及分布式电源（distribution generation，DG）的配电网可靠性简化计算方法，量化储能配置后对配电网可靠性提高所做的贡献，得到持续供电时间增量及持续供电电量增量2个指标。然后，以配电系统的年净收益最大、配电系统故障时储能系统持续供电时间与供电电量最大为目标，建立了电池储能系统多目标优化配置模型，并采用改进的强度帕累托算法求解该多目标优化模型的帕累托前沿。最后对IEEE-33节点配电系统进行仿真计算，验证了所建模型的可行性及有效性。

Battery Energy Storage System Optimal Allocation Considering Economy and Reliability of Distribution Network

Economy and reliability are two indexes that must be considered in the optimal allocation process of energy storage system. However, they cannot achieve the optimum simultaneously. In order to coordinate the contradiction, a multi-objective optimal allocation model of battery energy storage system （BESS） with considering the economy and reliability was built. Firstly, according to the current situation that the reliability evaluation method of system with energy storage element was complex, and its computing speed was slow, a simple reliability evaluation method of distribution network with distribution generation （DG） and BESS was proposed, in which the contribution of energy storage configuration to the reliability improvement of distribution network was quantified, and two reliability indexes, continuous power supply time increment and power supply increment were obtained. Secondly, with the goal of maximizing the annual net income of distribution network, the continuous power supply time increment and power supply increment of energy storage system during distribution system fault, the multi-objective optimal allocation model of BESS was established. The improved strength Pareto evolutionary algorithm （ISPEA） was applied to solve the Pareto front of this multi-objective model. Simulation calculation was carried on IEEE-33 nodes distribution system, whose results verified the feasibility and effectiveness of the proposed model.