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

页码：400 / 405

页数：6

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