A Charging Strategy with the Price Stimulus Considering the Queue of Charging Station and EV Fast Charging Demand

被引：23
|
作者：
Yuan, Kai [1 ]
Song, Yi [1 ]
Shao, Yinchi [2 ]
Sun, Chongbo [1 ]
Wu, Zhili [1 ]
机构：
[1] State Grid Econ & Technol Res Inst Co Ltd, Beijing 102209, Peoples R China
[2] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin 300072, Peoples R China
来源：
RENEWABLE ENERGY INTEGRATION WITH MINI/MICROGRID | 2018年 / 145卷
关键词：
fast charge; charging load; dynamic queue; charging price; guiding strategy; VEHICLES;
D O I：
10.1016/j.egypro.2018.04.046
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper proposes an electric vehicle (EV) charging guiding strategy with the price stimulus considering the queue of charging station and the EV fast charging demand. Firstly, a charging guiding framework based on the real-time information interaction is introduced. Secondly, the Origin-destination (OD) analysis is introduced to describe the distribution of EV fast charging demand. Based on the charging demand, a stack queue model is proposed to simulate the dynamic queue of EV charging stations, and a price stimulus method is adopted to guide the EV user to choose the charging station for minimizing the charging cost. Finally, a case is demonstrated to prove the effectiveness of the strategy. Copyright (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：400 / 405
页数：6
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