DocumentCode :
3760558
Title :
Research on quantitatively evaluating system acceptance capacity of electric vehicles considering coordinated strategy
Author :
Qi Zuo;Ming Zhou;Hailei He;Caihao Liang;Qinyong Zhou;Wenjie He
Author_Institution :
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China
fYear :
2015
Firstpage :
2614
Lastpage :
2619
Abstract :
By studying on the coordination between the system reliability level and the EV grid-integration scale, the system acceptance capacity of EVs can be assessed from a new point of view. In this paper, a model for the charging loads of three types of EVs and a coordinated strategy with time-of-use price (TOU) are established. Then, the maximum acceptable capacity, reliability sensitivity and other indicators are proposed to quantitatively characterize the system ability to accommodate EVs. Subsequently, by combining the acquired EV charging load algorithm with the traditional reliability assessment method, the quantitative evaluation approach of the system acceptance capacity of EVs considering coordinated strategy is proposed. In order to improve the simulation efficiency, the Latin hypercube method is used to sample the system state. The feasibility of proposed indicators and method is verified with test results of the IEEE24-RTS system. Furthermore, different cases are comparatively analyzed with and without the coordinated strategy, respectively. Results prove that the coordinated strategy can improve the system reliability level, and greatly enhance the system acceptance capacity of EVs.
Keywords :
"Indexes","Reliability","Load modeling","Sensitivity","Decision support systems","Timing","Power industry"
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
Type :
conf
DOI :
10.1109/DRPT.2015.7432690
Filename :
7432690
Link To Document :
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