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- W4379983721 abstract "In view of the energy optimization management of photovoltaic charging stations, most of the existing researches take the power grid as the principle part but less consider its characteristics of consumer. Therefore, combined with the interactive energy mechanism, a day-ahead energy optimization management method for electric vehicle charging stations with photovoltaic power generation is proposed. On the premise of ensuring the safe and stable operation of distribution network, the distributed trading model of charging station considering the uncertainty of photovoltaic power supply is established. Secondly, the Lagrangian decomposition principle and subgradient method are used to solve the day-ahead electric power plan, which realizes the optimal sharing of energy between ev charging stations and the local consumption of renewable energy, and also protects the information privacy of charging stations. Finally, the rationality and validity of the proposed model are proved by example analysis." @default.
- W4379983721 created "2023-06-10" @default.
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- W4379983721 date "2023-04-01" @default.
- W4379983721 modified "2023-09-24" @default.
- W4379983721 title "Day-ahead Energy Optimization Management of Electric vehicle Charging Stations Based on Transactive Energy Mechanism" @default.
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- W4379983721 doi "https://doi.org/10.1109/pandafpe57779.2023.10140624" @default.
- W4379983721 hasPublicationYear "2023" @default.
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