Research on the Performance of Electric Vehicles in Peak Load Shifting
Author(s) -
Qingshan Xu,
Yujun Liu,
Maosheng Ding,
Pingliang Zeng,
Wei Pan
Publication year - 2014
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2014/957872
Subject(s) - computer science , vehicle to grid , matlab , grid , power grid , automotive engineering , service (business) , electric vehicle , reliability engineering , simulation , power (physics) , engineering , mathematics , business , physics , geometry , quantum mechanics , marketing , operating system
Electric vehicles (EVs) are developing remarkably fast these years which makes the technology of vehicle-to-grid (V2G) easier to implement. Peak load shifting (PLS) is an important part of V2G service. A model of EVs’ capacity in V2G service is proposed for the research on PLS in this paper. The capacity is valued in accordance with three types of situations. Based on the model, three different scenarios are suggested in order to evaluate the capacity with MATLAB. The evaluation results indicate that EVs can provide potential energy to participate in PLS. Then, the principle of PLS with EVs is researched through the analysis of the relationship between their power and capacity. The performance of EVs in PLS is also simulated. The comparison of two simulation results shows that EVs can fulfill the request of PLS without intensely lowering their capacity level
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