Optimal Siting and Sizing forInverter Feedback Devices Applied in Urban Rail Transit
LIU Wei1, ZHANG Hao1, ZHANG Jian1, LI You1, PAN Weiguo2, LI Qunzhan1
1. School of Electrical Engineering, Southwest Jiaotong University，Chengdu 610031，China; 2. Beijing National Railway Communication Signal Research and Design Institute Group Co.，Ltd.，Beijing 100071，China
摘要 以节省逆变回馈装置投资成本和提高再生制动能量利用率为目标，建立了城轨牵引供电系统逆变回馈装置定容选址优化模型. 将考虑逆变回馈装置周期性间歇工作制的城轨牵引供电系统交直流混合潮流算法与带精英策略的快速非支配排序遗传算法（fast non-dominated sorting genetic algorithm Ⅱ，fast NSGA-Ⅱ）相结合，求解多目标函数的Pareto解集；并采用基于信息熵的序数偏好法（technique for order preference by similarity to ideal solution，TOPSIS）筛选逆变回馈装置定容选址的最优方案. 以广州地铁某线路为算例进行仿真验证，结果表明：优化方案相对该地铁工程实际逆变回馈装置配置方案，其装置投资成本节省70万元，系统级节能率提高3.25%，投资回报周期相应缩短.
Abstract：A multi-objective optimization model of siting and sizing of inverter feedback devices is established with an objective of saving the investment cost of inverter feedback devices and improving the utilization rate of regenerative braking energy. The AC-DC hybrid power flow algorithm that involves the intermittent work cycle of the inverter feedback device and the fast non-dominated sorting genetic algorithm Ⅱ (fast NSGA-Ⅱ) are combined to solve the Pareto solution set. The entropy-based technique for order preference by similarity to ideal solution (TOPSIS) is adopted to select the optimal site of the inverter feedback device. Cases with a metro line in Guangzhou were studied to compare the optimal solution with the actual configuration scheme of the inverter feedback device，showing that the optimal solution saved 700，000 yuan of investment cost，increased the system level energy saving rate by 3.25%，and shortened the investment return period.
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