Impacts of Electric Vehicles on Power Grid Considering Time Series of TOU

被引：0
|
作者：
Yan, Lei [1 ]
Ai, Xin [1 ]
Wang, Yao [1 ]
Zhang, Huiying [1 ]
机构：
[1] North China Elect Power Univ, State Key Lab Altermate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
来源：
2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014 | 2014年
关键词：
EV (electric vehicle); TOU (Time-of-use); genetic algorithm;
D O I：
暂无
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：
As large amounts of EVs connect to power grid, in the future, this paper proposes the optional mode of TOU (Time-of-use) shift the load of EVs to relief the burden of power grid. Analyzing the users' habits without control, this paper establishes single-user and multiple-users charging mode. Simulated by Monte Carlo method, the load with EV and the peak-vally difference will be aggregated. Therefore, EVs' charge-discharge load model considering TOU is proposed. To minimize the peak-vally difference, the paper introduce genetic algorithm to achieve the optimal time series of TOU strategy. Lastly, the numerical example demonstrates the molds in this paper.
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页数：5
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