• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2020, Vol. 41 ›› Issue (2): 118-124.doi: 10.3969/j.issn.1000-7229.2020.02.014

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Multi-Objective Optimal Scheduling Based on Fuzzy Membership for Electric Bus Charging Station

QIAN Kejun1, QIN Meng2, SONG Yuanjun3, ZHOU Zhenkai4, LIU Yi1, XIE Ying1, CHEN Lijuan2   

  1. 1.Suzhou Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Suzhou 215004, Jiangsu Province, China; 2.School of Electrical Engineering, Southeast University, Nanjing 210096, China; 3.State Grid Electric Vehicle Service Jiangsu Co., Ltd., Nanjing 210019, China; 4. Kunshan Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Kunshan 215300, Jiangsu Province, China
  • Online:2020-02-01

Abstract: In order to consider both economic benefits of the charging station and the safety of the distribution network, a multi-objective optimized scheduling model for electric buses participating in vehicle to grid (V2G) is established. This model takes into account not only the travelling need of electric buses, but also the bus-pile connection status in the charging station. Due to the low correlation among objectives, the fuzzy membership function is used to fuzzy up objectives. Then the multi-objective optimization problem is transformed into single-objective problem to maximize satisfaction on the basis of the maximum and minimum theory. Finally, single-objective strategy and the multi-objective strategy are compared under disordered charging mode and V2G charging mode, which verifies the economy and effectiveness of the multi-objective model of charging station participating in V2G.

Key words:  electric bus, charging station, multi-objective optimization, fuzzy membership, vehicle to grid(V2G)

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