Title :
Impact of electric vehicles charging on load curve
Author :
Zhilong Lin ; Tongke Zhong ; Zhaoxia Jing ; Shan Huang
Abstract :
The large scale application of electric vehicles (EVs) will cause great impact on power system, while it also provides a new chance to solve problems of the grid as reducing peak-valley difference. Based on the models of EVs´ behavior, this paper considers various factors such as charging methods of EVs, price policies of grid companies and charging modes of grid agents and non-grid agents; then the charging behavior of EVs are divided into four scenarios, and the Monte Carlo method is used to evaluate the impact of different scales of EVs on the daily load curve in Guangzhou. The results indicate that the grid companies should take measures to reduce the burden brought by the large application of EVs; it will lead to a better effect on filling the valley load, with the guidance of the peak and valley pricing policy and maximum load pricing policy or when the grid companies control charging behavior of all EVs directly.
Keywords :
Monte Carlo methods; battery powered vehicles; power grids; power system economics; pricing; EV; Guangzhou; Monte Carlo method; daily load curve; electric vehicle charging method; grid agent; maximum load pricing policy; nongrid agent; peak-valley difference reduction; power grid system; valley pricing policy; Electric vehicle; Load curve; Monte Carlo method; Pricing policy;
Conference_Titel :
Advances in Power System Control, Operation and Management (APSCOM 2012), 9th IET International Conference on
Conference_Location :
Hong Kong
Electronic_ISBN :
978-1-84919-743-4
DOI :
10.1049/cp.2012.2123