Abstract：In recent years, with the promotion of the dual carbon policy, the application of energy storage technology in urban rail transit has become increasingly widespread, showing a trend of point-to-line development. When multiple stations are installed with energy storage devices on a line, charging/discharging strategy design for different station energy storage devices and the coordination and control for multiple energy storage systems are necessary. This paper analyzes the relationship between traction network voltage, train status, and residual power of trains under no-load voltage and departure interval conditions based on the measured traction network voltage and 10 kV transformer output voltage. A distributed interval energy management strategy is proposed, dividing the entire line into several energy management intervals. The parameters of the energy management equipment within the interval are dynamically adjusted by identifying the train status and residual power within the interval. Firstly, the no-load voltage of the traction substation is identified online based on the output voltage of the 10 kV transformer. The real-time status and residual power of the trains in the management section are identified with the identified no-load voltage and the traction network voltage of the substations in the section. Based on the real-time identified residual power, the benchmark value of the charging and discharging threshold of the energy storage system in the section and the initial slope of the threshold variation are determined. This strategy introduces an online correction mechanism to further optimize the effects of energy conservation and voltage stabilization according to parameters such as charging and discharging cycles, frequency of traction network voltage exceeding 900 V, and the state of charge of the energy storage system. It corrects the benchmark values and updates the slopes of the charging and discharging thresholds for multiple energy storage systems within the interval. The proposed strategy has been verified on two sets of MW energy storage systems at Tongzhou Beiyuan station, and Baliqiao station of Beijing Metro Batong line. The experimental results show that the proposed distributed interval energy management strategy achieves an energy-saving rate of 14.4% and a voltage stabilization rate of 35.25% on weekdays. Compared with the existing dynamic threshold energy management strategy based on the no-load voltage of this station, the energy saving rate and voltage stabilization rate have increased by 5.4% and 9.05%, respectively. It provides an efficient and feasible scheme for applying a multi-energy storage system in urban rail transit.
钟志宏, 李炎, 米佳雨, 林飞, 杨中平. 基于牵引网电压和空载电压的多储能系统区间能量管理策略[J]. 电工技术学报, 2024, 39(15): 4583-4598.
Zhong Zhihong, Li Yan, Mi Jiayu, Lin Fei, Yang Zhongping. Interval Energy Management Strategy for Multiple Energy Storage Systems Based on Traction Network Voltage and No-Load Voltage. Transactions of China Electrotechnical Society, 2024, 39(15): 4583-4598.
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