期刊
IEEE TRANSACTIONS ON SMART GRID
卷 5, 期 3, 页码 1397-1409出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2014.2300040
关键词
Aggregator-EVs system; electric vehicles; real-time algorithm; V2G; welfare-maximizing regulation allocation
资金
- Natural Sciences and Engineering Research Council of Canada
The concept of vehicle-to-grid (V2G) has gained recent interest as more and more electric vehicles (EVs) are put to use. In this paper, we consider a dynamic aggregator-EVs system, where an aggregator centrally coordinates a large number of dynamic EVs to provide regulation service. We propose a Welfare-Maximizing Regulation Allocation (WMRA) algorithm for the aggregator to fairly allocate the regulation amount among the EVs. Compared with previous works, WMRA accommodates a wide spectrum of vital system characteristics, including dynamics of EV, limited EV battery size, EV battery degradation cost, and the cost of using external energy sources for the aggregator. The algorithm operates in real time and does not require any prior knowledge of the statistical information of the system. Theoretically, we demonstrate that WMRA is away from the optimum by, where is a controlling parameter depending on EVs' battery size. In addition, our simulation results indicate that WMRA can substantially outperform a suboptimal greedy algorithm.
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