DocumentCode :
240931
Title :
A Load Scheduling Strategy for Electric Vehicles Charging System
Author :
Zheng Wang ; Xiao Wu ; Hongbin Zhao
Author_Institution :
Sch. of Comput. Sci. & Technol., Northwestern Polytech. Univ., Xi´an, China
fYear :
2014
fDate :
June 30 2014-July 2 2014
Firstpage :
218
Lastpage :
222
Abstract :
Intelligent charging system for electric vehicles is a new application of power grid cyber-physical system which requires higher safety and reliability. During the execution of the system, it will bring a range of safety issues because of the heavy load of charging grid in some disturbance conditions. This paper analyzes the load safety issues and presents a load scheduling strategy based on one prediction that improves the safety of the system by dispatching charging piles based on the predictive load. In addition, the authors designed the architecture of the charging pile management system to achieve scheduling and management. Meanwhile, simulation experiment about prediction and scheduling strategy is done on the basis of the above and its feasibility has been proved.
Keywords :
battery powered vehicles; electrical safety; load dispatching; power engineering computing; power system reliability; secondary cells; charging pile dispatching; electric vehicles charging system; intelligent charging system; load safety issue; load scheduling strategy; power grid cyber-physical system; power system reliability; predictive load; Artificial intelligence; Biological neural networks; Electric vehicles; Monitoring; Power grids; Safety; Servers; Cyber-physical System; Electric Vehicles Charging system; Load Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Security and Reliability-Companion (SERE-C), 2014 IEEE Eighth International Conference on
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/SERE-C.2014.42
Filename :
6901661
Link To Document :
بازگشت