Journal
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Volume 56, Issue 5, Pages 5932-5943Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2020.2988196
Keywords
Energy management; Quality of service; Games; Electric vehicle charging; Optimization; Sociology; Statistics; Electric vehicles charging stations; electricity distribution system; energy management; equilibrium; optimization
Funding
- Key Scientific and Technological Research Project of State Grid Corporation of China [5400-202022113A-0-0-00]
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In recent years, electric vehicle charging stations (EVCSs) have been deployed very fast, which offer a platform for the energy coordination between electric vehicles (EVs) and the electricity distribution system (DS). This paper presents an energy management method for the operation of EVCSs and DS while considering their interaction. In this method, we first use a quality-of-service constrained decision model for EVCSs, which is formulated based on the network calculus theory. Then, the DS aims to maximize its utility by scheduling charging plans for EVCSs. Afterwards, a game based on the supply function equilibrium (SFE) model is adopted to analyze the energy interaction, in which each EVCS is regarded as the leader, and the DS as the follower. In this way, an optimization problem with equilibrium constraints is established. Moreover, a hybrid optimization algorithm based on differential evolution and interior point method is used to obtain the equilibrium solution of the SFE game. Finally, simulation studies verify the effectiveness of proposed interactive energy management method.
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