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- W4367317764 abstract "This paper proposes a scalable holistic day-ahead scheduling framework for EV charging by considering spatial-temporal properties of EVs for considering the amalgamation of Plug-in charging station (CS) and Battery Swapping Station (BSS). This work explores the factors for increasing the number of EVs charged and the profit of service providers through a novel algorithm including collaboration among aggregators. Using a 25-node transportation network, this framework is tested for realistic traffic scenarios using both non-collaborative and collaborative inter-aggregator schemes. The results under these scenarios prove the efficacy of the proposed framework in maximizing the scheduled vehicles and enhancement of the profit of aggregators against the non-collaborative scheme in each scenario. The proposed framework for day-ahead scheduling is thus capable of charging EVs with various energy demands during a day on its way at an appropriately assigned direct charging station or battery swapping station under a collaborative framework while incorporating realistic energy purchase for different traffic scenarios with cancellation penalties." @default.
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- W4367317764 date "2023-04-27" @default.
- W4367317764 modified "2023-09-26" @default.
- W4367317764 title "A State-of-the- Art Holistic Charge Scheduling for Direct Charging and Battery Swapping Station under a Collaborative Environment" @default.
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- W4367317764 doi "https://doi.org/10.1080/03772063.2023.2204830" @default.
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