Capacity Planning of Energy Storage for Urban Rail Transit Systems Considering Renewable Energy Integration

As an important part of the modern compre hensive public transportation system, the urban rail transit system is undergoing large-scale development. The challenges, such as high energy consumption, low efficiency, and insufficient flexibility, prompt a low-carbon and efficient transformation. A two-stage robust optimization method for energy storage capacity configuration of urban rail transit power supply systems is proposed to integrate renewable energy. Firstly, the urban rail transit system's operating modes and load characteristics are analyzed, and the system energy interaction mechanism is established. Secondly, a two-stage robust optimization model of capacity planning and dispatch of energy storage is proposed to reduce the comprehensive cost under the peak valley time of use electricity price mechanism. Then, the column and constraint generation algorithm are applied to solve this problem iteratively. Finally, the feasibility and effectiveness of the proposed method is verified through case analysis.