- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | LIU Wei, ZHANG Hao, ZHANG Jian, LI You, PAN Weiguo, LI Qunzhan. Optimal Siting and Sizing forInverter Feedback Devices Applied in Urban Rail Transit[J]. Journal of Southwest Jiaotong University, 2021, 56(6): 1355-1362. doi: 10.3969/j.issn.0258-2724.20200402
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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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