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• W3186336756 startingPage "107451" @default.
• W3186336756 abstract "The disorderly charging of large-scale Electric Vehicles increases the peak-to-valley difference of the grid and new energy absorption is facing difficulties. Considering these problems and difficulties, an aggregate management strategy for orderly scheduling of Electric Vehicles in the battery swapping station is proposed, which considers promoting the wind and photovoltaic power consumption and shaving peak of the grid. A multi-objective optimization model is established with the goal of the minimum variance of the grid load, the least amount of abandoned wind and solar energy, and the maximum revenues of the LAs, which is solved by Genetic Algorithm. The results of the example show that the optimization model can effectively realize the orderly charging of Electric Vehicles, release the peak shaving capacity, absorb the excess wind and photovoltaic power, and reduce costs of LAs and users." @default.
• W3186336756 created "2021-08-02" @default.
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• W3186336756 date "2021-10-01" @default.
• W3186336756 modified "2023-10-16" @default.
• W3186336756 title "Optimal scheduling of electric vehicles charging in battery swapping station considering wind- photovoltaic accommodation" @default.
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• W3186336756 doi "https://doi.org/10.1016/j.epsr.2021.107451" @default.
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