Optimal planning of charging stations for electric vehicles considering voltage stability of distribution system and the quality of service
DOI：10.7667/PSPC180513
Key Words:electric vehicle  charging station planning  voltage stability index  quality of service index  origin-destination (OD) analysis
Author NameAffiliationE-mail
CHENG Shan Hubei Provincial Collaborative Innovation Center for New Energy Microgrid CTGU, Yichang 443002, China
College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China 		 
WU Siyuan Hubei Provincial Collaborative Innovation Center for New Energy Microgrid CTGU, Yichang 443002, China
College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China 		 
SUN Weibin Hubei Provincial Collaborative Innovation Center for New Energy Microgrid CTGU, Yichang 443002, China
College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China 		13117272039@163.com 
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Abstract:Reasonable planning of charging stations enables to greatly reduce the reactive effect of its construction to the power system, and promote the large-scale application of the electric vehicle and its industry development. In this paper, charging demand is determined by Origin-destination (OD) analysis, and the candidate configuration solutions are derived with charging reliability satisfied. A Multi-objective Optimization (MOO) model of charging stations is established with consideration of the voltage stability and the service quality. To determine the appropriate weights for the MOO functions, the super-efficiency data envelopment analysis is adopted to convert the MOO problem into a single one that is solved by a dynamic adaptive particle swarm optimization. Finally, numerical simulation based on a planned area combined with the IEEE 33 system has been carried out and the corresponding results verify the effectiveness of the proposed method. This work is supported by National Natural Science Foundation of China (No. 51607105).
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