Demand side management for EV charging/discharging behaviours with particle swarm optimization

Author

Yimin Zhou ; Guoqing Xu ; Ming Chang

Author_Institution

Shenzhen Inst. of Adv. Technol., Shenzhen, China

fYear

2014

Firstpage

3660

Lastpage

3664

Abstract

In this paper, the electric vehicle charging and discharging behaviours from the demand side is discussed. A large-scale charging of electric vehicles could jeopardize the safety and economics of the power grid operation. It is hence necessary to investigate the charging/discharging pattern involved in EVs and knowledge-based modelling technique is used to model their behvaiour. An improved particle swarm optimization algorithm is proposed to control large scale EV charging/discharging with the aid of pricing mechanism for the minimized cost for electric vehicle users as the objective. Simulation experiments are implemented to prove the effectiveness of the proposed algorithm.

Keywords

demand side management; electric vehicles; knowledge based systems; particle swarm optimisation; power grids; power system economics; EV charging; EV discharging; cost minimization; demand side management; electric vehicle charging; electric vehicle discharging; knowledge-based modelling technique; particle swarm optimization; power grid operation; pricing mechanism; Batteries; Electric vehicles; Electricity; Optimization; Particle swarm optimization; System-on-chip; Charging/Discharging behaviour; Demand side management; Electrical vehicles; Particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2014 11th World Congress on

Type

conf

DOI

10.1109/WCICA.2014.7053325

Filename

7053325