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