Research on Household Charging Optimization of Electric Vehicles Based on Smart Load

被引：0

作者：

Zhang, Xinyuan ^{[1
]}

Ma, Gang ^{[1
]}

Lyu, Jie ^{[1
]}

Wu, Xuehong ^{[1
]}

Zheng, Mei ^{[1
]}

机构：

[1] Nanjing Normal Univ, Sch NARI Elect & Automat Engn, Nanjing, Peoples R China

来源：

RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING | 2020年 / 13卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Electric vehicle charging; electric spring; smart load; particle swarm optimization; STEADY-STATE ANALYSIS; SPRINGS;

D O I：

10.2174/2352096513666200309105139

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Background: With the tremendous changes in the world's fuel structure, the Electric Vehicle (EV) has become a powerful means of mitigating energy and environmental issues. Objective: However, when an electric vehicle is connected to home, it will cause load fluctuation, which threatens the safe and smooth operation of the user's electricity. Method: Therefore, in order to solve the problem of power instability when the electric vehicle is connected to home, this paper proposes an optimization strategy for household charging based on Smart Load (SL). Results: After the daily load fluctuation model of electric vehicle family charging is constructed, the Particle Swarm Optimization (PSO) algorithm is combined to establish the electric vehicle family charging optimization model. Conclusion: The analysis of the example shows that the proposed method can stabilize the household power, which can effectively solve the adverse effects caused by excessive fluctuation of daily load in the family

引用

页码：1051 / 1058

页数：8

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