随着城市化进程的加快，可再生能源和先进储能技术的融合在应对与城市轨道交通相关的能源效率提升方面具有巨大的应用前景，但随之带来能源系统的规划配置和运行优化问题。通过分析轨道交通系统中牵引负荷的能源需求及间歇性光伏出力的动态特征，建立了源荷多面体不确定集下的储能配置及优化运行鲁棒模型。在满足稳定性和经济性约束条件下，以储能综合日均成本最小为目标函数，采用列与约束生成算法求解模型。仿真算例分析了源荷不确定性程度对调度运行方案和日均总综合成本等指标的影响，验证了所提优化模型的有效性，对研究储能系统在提高城市轨道交通网络弹性和稳定性方面的关键作用具有进步意义。

With the acceleration of urbanization, the integration of renewable energy and advanced energy storage technologies holds great promise for improving energy efficiency in urban rail transit systems. However, this also brings challenges in energy system planning, configuration, and operation optimization. By analyzing the energy demand of traction loads and the dynamic characteristics of intermittent photovoltaic output within the rail transit system, a robust model for energy storage configuration and optimized operation under the polyhedron uncertainty set of source load was established. The objective function, subject to stability and economic constraints, aims to minimize the comprehensive daily average cost of energy storage. A column-and-constraint generation algorithm is used to solve the model. The simulation example assesses the impact of uncertainty on the scheduling operation plan and the daily total comprehensive cost, thereby validating the effectiveness of the proposed optimization model. The study has significant implications for understanding the role of energy storage systems as a key component in improving the resilience and stability of urban rail transit networks.

TM732

华东电力试验研究院资助项目（20222900410-WB01）。