Planning of Electric Vehicle charging station based on hierarchic genetic algorithm

Author

Xiangwu Yan ; Cong Duan ; Xiao Chen ; Zhengyang Duan

Author_Institution

State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China

fYear

2014

fDate

Aug. 31 2014-Sept. 3 2014

Firstpage

1

Lastpage

5

Abstract

With an increasing number of Electric Vehicles (EV), the optimal planning of electric vehicle charging station (EVCS) into distribution system has become more and more important. However, the problem of optimal planning is complex, nonlinear and combinatorial optimization problem. Thus a multi-objective and multivariate planning model based on hierarchic genetic algorithm (HGA) is proposed, considering the investment costs of EVCS and feeder and the energy losses and constraint conditions. The innovation points of this paper are encoding method and checking operator, changing the infeasible solutions in filial populations into feasible solutions. Finally the proposed approach is tested on 33 nodes distribution power system of IEEE with EVCS, based on the MATLAB programming language. Study results indicate the validity of this method.

Keywords

combinatorial mathematics; electric vehicles; encoding; genetic algorithms; nonlinear programming; power distribution planning; EVCS; HGA; IEEE; MATLAB programming language; checking operator; combinatorial optimization problem; constraint conditions; distribution power system; electric vehicle charging station; encoding method; energy losses; hierarchic genetic algorithm; innovation points; investment costs; multiobjective planning model; multivariate planning model; nonlinear optimization problem; Charging stations; Electric vehicles; Genetic algorithms; Genetics; Mathematical model; Planning; checking operator; distribution system; electric vehicle charging station (EVCS); encoding method; hierarchic genetic algorithm (HGA); optimal planning;

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.2014.6941087

Filename

6941087