储能系统的安装能解决大量分布式光伏接入配电网所导致的脆弱性加剧现象，建立完善的配电网脆弱性评估体系能有效提升储能接入效益。计及光伏接入以及电压与负荷波动对配电网运行脆弱性进行了评估，建立了配电网综合脆弱性指标。以脆弱性指标、经济性指标以及有功功率网损技术指标为目标函数建立了配电网储能优化配置模型。通过K-means聚类算法处理光伏、负荷不确定性，使用改进多目标差分进化算法（improved multiple objective differential evolution algorithm，IMODE）对模型进行求解。通过混沌序列初始化种群，提出了自适应变异、交叉因子，并对变异算子策略进行优化。以甘肃省某县配电网实例进行仿真验证，所提策略在考虑经济性的前提下能有效保证配电网的安全运行，使配电网脆弱性降低了18.9 %，有功功率网损降低了23.9 %。所提脆弱性指标与模型能有效量化配电网的脆弱性并反映储能接入后对脆弱性的改善效果，可以为储能系统的安装与运行提供技术参考。

The installation of energy storage systems can mitigate the intensified vulnerability caused by the integration of large-scale distributed photovoltaic (PV) systems into the distribution network. Establishing a comprehensive distribution network vulnerability assessment system can effectively enhance the benefits of energy storage integration. The operational vulnerability of the distribution network is evaluated by considering PV integration and fluctuations in voltage and load, a comprehensive vulnerability index for the distribution network is established. A distribution network energy storage optimal allocation model is developed with vulnerability indicators，economic indicators and active power losses indicators as objective functions. The PV and load uncertainties are addressed using the K-means clustering algorithm, and the model is solved with an improved multiple objective differential evolution algorithm (IMODE). By initializing the population with chaotic sequences, adaptive mutation and crossover factors are introduced, along with optimizations to the mutation operator strategy. Simulation verification is conducted on a distribution network case in a county of Gansu Province. The proposed strategy effectively ensures the safe operation of the distribution network while considering economic factors, reducing network vulnerability by 18.9 % and active power loss by 23.9 %. The proposed vulnerability indexes and model can quantitatively assess distribution network vulnerability and reflect the improvement effects of energy storage integration, providing technical references for the installation and operation of energy storage systems.