PSO-CFA based optimal placement of EVs in radial distribution network for loss minimization

Author

Dixit, Mukul ; Roy, Ranjit

Author_Institution

Electr. Eng. Dept., S.V. Nat. Inst. of Technol., Surat, India

fYear

2015

fDate

5-7 March 2015

Firstpage

1

Lastpage

5

Abstract

This paper presents an optimal placement of Electric Vehicles (EVs) in the radial distribution network. The main objective of this paper is to minimize the total power losses and improve the voltage profile of the system. The Particle Swarm Optimization with Constriction Factor Approach (PSO-CFA) technique has been used for optimal placement of EVs on IEEE-33 radial distribution test system. The 24 hours load data across each node is considered in this paper. The charging and discharging of EVs during 24 hours are also discussed. The impact on power losses and voltage profile with and without EVs are also mentioned in this paper.

Keywords

distribution networks; electric vehicles; load distribution; minimisation; particle swarm optimisation; EV; PSO-CFA technique; constriction factor approach technique; electric vehicles; loss minimization; particle swarm optimization; radial distribution network; Reactive power; Reliability; PSO-CFA; distribution network; electric vehicles; power losses; voltage profile;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6084-2

Type

conf

DOI

10.1109/ICECCT.2015.7225983

Filename

7225983