Location optimization of hybrid charging and changing station for shared electric vehicles

被引：0
|
作者：
Li R. [1 ]
Zang X. [1 ]
Zhang W. [1 ]
Luo D. [1 ]
Li P. [1 ]
机构：
[1] College of Electrical and Electronic Engineering, North China Electric Power University, Baoding
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 10期
关键词：
Hybrid charging and changing station; Multi-objective optimization; NSGA-Ⅱ; Pareto optimal solutions; Shared electric vehicles;
D O I：
10.16081/j.epae.202110022
中图分类号：
学科分类号：
摘要：
The way of replacing batteries which is convenient and efficient will become the main way to replenish power for shared EVs(Electric Vehicles) in future cities. In order to establish a hybrid charging and changing station with high efficiency, low cost and power grid friendliness, Monte Carlo simulation me-thod is used to forecast the charging load of shared EVs based on shared EVs' leasing rule and charging data such as power, time, and so on. Then, a multi-objective optimal planning model of hybrid charging and changing station for shared EVs is established with the goals of maximizing user capture degree of charging and changing station for shared EVs and minimizing network loss and voltage offset of distribution system. Finally, the improved NSGA-Ⅱ(Nondominated Sorting Genetic Algorithm Ⅱ) with elite strategy is used to solve the multi-objective model, and the Pareto optimal solution set is obtained. Taking 25-node traffic network and IEEE 33-bus distribution system as the example, the feasibility of the proposed model is verified, which can provide feasible experience for the construction of hybrid charging and changing station for shared EVs. © 2021, Electric Power Automation Equipment Press. All right reserved.
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页码：67 / 74
页数：7
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