• 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 ›› 2018, Vol. 39 ›› Issue (12): 63-72.doi: 10.3969/j.issn.1000-7229.2018.12.008

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Real-time Optimal Charging Scheduling for Electric Vehicles Considering Interactions Among Traffic Network, Distribution System and Electric Vehicles#br#

WANG Ke1, LI Yuan2, YANG Wentao2, LI Tao1, CEN Haifeng1, XU Yuan1, WEN Fushuan2   

  1. 1.Guangzhou Power Supply Bureau Co., Ltd., Guangzhou 510620, China;2. School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
  • Online:2018-12-01
  • Supported by:
    This work is jointly supported by National Natural Science Foundation of China (No. 51477151), and a Project from Guangzhou Power Supply Bureau Co., Ltd. (No. GZHKJXM20160034).

Abstract: Potential applications of massive electric vehicles (EVs) may have negative impacts on the operation of the concerned urban traffic system and distribution system. Meanwhile, the temporal and spatial distribution of the EV charging load is closely related to the urban traffic system and distribution system. Therefore, the charging scheduling and control of EVs taking into account the interactions among the urban traffic system, distribution system and EVs, are important issues to be addressed. Given this background, a framework of an electrified transportation coordinated system considering the interactions in the traffic-distribution-vehicle framework is first proposed. A microscopic traffic flow model based on trip chain is next established to simulate the traveling behavior, temporal and spatial distribution, charging state and charging demand of EV drivers. A strategy for selecting the charging station and navigation is then proposed. Further, a bi-level real-time optimal scheduling model is presented to determine the optimum charging schemes of EVs in each charging station, with the security of the distribution system and charging waiting cost of EV drivers taken into consideration. Finally, an integrated sample system including a regional traffic system and a modified IEEE 33-node distribution system is employed to demonstrate the presented model and method.

Key words: coordinated electrified transportation system, distribution system, electric vehicle(EV), charging station, microscopic traffic flow model, bi-level optimization

CLC Number: