DocumentCode :
136390
Title :
Hierarchical coordinated control strategy for electric vehicle based on bi-level programming
Author :
Ruoxi Dong ; Xin Ai ; Song Zhang ; Shiwei Cui
Author_Institution :
State Key Lab. of Altermate Electr. Power Syst. With Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
fYear :
2014
fDate :
Aug. 31 2014-Sept. 3 2014
Firstpage :
1
Lastpage :
5
Abstract :
Uncontrolled charging behaviors of electric vehicle may have negative impacts on the operation of the power system. To avoid this, a hierarchical coordinated control strategy based on bi-level programming is proposed. The upper-level is devoted to minimize the operational cost of several aggregators and the system load variance. On the lower level, each aggregator controls the charging/discharging behaviors of EVs to meet the dispatch scheme determined by the upper decision-maker. An iterative genetic algorithm is employed to solve the problem. Finally, a test system including 3 aggregators is employed to demonstrate the performance of the approach proposed.
Keywords :
automobiles; battery powered vehicles; decision making; genetic algorithms; hierarchical systems; iterative methods; load dispatching; mathematical programming; EV; aggregators; bilevel programming; charging behavior control; decision-maker; discharging behavior control; dispatch scheme; electric vehicle; hierarchical coordinated control strategy; iterative genetic algorithm; system load variance; Batteries; Dispatching; Genetic algorithms; Load modeling; Optimization; Power systems; bi-level programming; coordinated control; electric vehicle; iterative genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-4240-4
Type :
conf
DOI :
10.1109/ITEC-AP.2014.6940661
Filename :
6940661
Link To Document :
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