A Consumer-Oriented Incentive Mechanism for EVs Charging in Multi-Microgrids Based on Price Information Sharing

Zekun Li , Amjad Anvari-Moghaddam*, Yi Sun

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Abstrakt

The distribution of electric vehicle (EV) charging area is af-fected by customer behavior, which has strong non-uniform characteristics. This will cause some areas to be in a busy state, unable to supply EV charging in time, while the areas with low passenger flow will be in an idle state, which leads to the lower charging efficiency and revenue. In order to solve such prob-lem, this paper proposes a customer-oriented charging incen-tive strategy for EVs based on information sharing among multiple microgrid regions. Firstly, a customer-oriented charging incentive strategy implementation framework is pro-posed to realize multi regional charging coordination by shar-ing regional charging information with customers. Then, con-sidering the impact of charging price on charging demand and customer transfer, the customer charging demand model is constructed. Based on this, the optimization model is con-structed to maximize the interests of system operators in multi microgrid area, and solved by particle swarm optimization (PSO) algorithm. Simulation results show that the proposed mechanism can effectively alleviate the charging dissatisfaction caused by the above phenomenon, and improve the overall operating revenue of multi region.
OriginalsprogEngelsk
Titel2021 IEEE International Conference on Environment and Electrical Engineering : EEEIC 2021
ForlagIEEE Press
Sider1-6
StatusAccepteret/In press - 2021

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