期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 17, 期 10, 页码 6994-7004出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2021.3054417
关键词
Batteries; Charging stations; Resource management; Electric vehicle charging; Energy management; Informatics; Game theory; Charging coordination; charging station energy management; energy storage; game theory; renewable energy
Incorporating renewable energy resources and energy storage into charging stations is an effective solution to address the growing demand for electric vehicle charging. The two-stage scheme proposed in this article efficiently solves the energy management issues of charging stations.
Charging station that incorporates renewable energy resource and energy storage is a promising solution to meet the growing charging demand of electric vehicles (EVs) without the need to expand the distribution network. The aggregation of multiple energy resources and EVs requires an efficient and flexible energy management strategy. This article presents a two-stage scheme to solve the power allocation and charging coordination of plugged-in EVs. Game-theory-based control is utilized to address the interaction among different components for respecting their individual preferences. The first stage determines the power allocation of photovoltaic, battery, and the grid as well as total charging power for EVs. In the second stage, charging power dispatch among individual EVs is coordinated based on the available total charging power determined in the first stage. As a result, the two energy management problems of charging station are addressed sequentially. The proposed solution is validated via simulation and experiment, and the comparisons with benchmarks show its advantages.
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