Optimal planning of photovoltaic-storage fast charging station considering electric vehicle charging demand response

被引：9
|
作者：
Xia, Fangzhou [1 ]
Chen, Hongkun [2 ]
Li, Hao [2 ]
Chen, Lei [2 ]
机构：
[1] State Grid Hubei Elect Power Co Ltd, Econ Res Inst, Wuhan 430074, Peoples R China
[2] Wuhan Univ, Sch Elect Engn & Automat, Wuhan 430072, Peoples R China
来源：
ENERGY REPORTS | 2022年 / 8卷
关键词：
Photovoltaic-storage fast charging station; Charging station planning; Charging demand response; NSGA-II;
D O I：
10.1016/j.egyr.2022.10.062
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The charging demand response of electric vehicle(EV) users will affect the social and economic benefits of fast charging services, so it is an important factor in EV charging station planning. In this paper, a photovoltaic-storage fast charging station(PSFCS) planning method considering charging demand response is proposed. Firstly, the EV fast charging behaviors and the factors influencing the admitting ability of PSFCS to the fast charging load are discussed, and the interaction characters between them are analyzed. Based on the above analysis, a three-stage dual-objective optimization model of PSFCS planning considering charging demand response is proposed and solved by the elitist non-dominated sorting genetic algorithm(NSGA-II). Finally, the case study is formulated based on the 21 power nodes-12 traffic nodes network, simulation results show that the proposed method can effectively improve the profit of charging service providers and reduce the total charging time of EVs. (C) 2022 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：399 / 412
页数：14
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