DocumentCode :
136440
Title :
Impacts of electric vehicles on power grid considering time series of TOU
Author :
Lei Yan ; Xin Ai ; Yao Wang ; Huiying Zhang
Author_Institution :
State Key Lab. of Altermate Electr. Power Syst., North China Electr. Power Univ., Beijing, China
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
Monte Carlo methods; electric vehicles; genetic algorithms; power grids; secondary cells; time series; Monte Carlo method; charge-discharge load model; electric vehicles; genetic algorithm; multiple-users charging mode; power grid; single-user charging mode; time series; time-of-use; Electric vehicles; Electricity; Smart grids; Time series analysis; EV (electric vehicle); TOU (Time-of-use); genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
Type :
conf
DOI :
10.1109/ITEC-AP.2014.6940711
Filename :
6940711
Link To Document :
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