Title :
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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053325
