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- W4285306763 abstract "Electric Vehicles are promising alternatives for transportation as they can improve the environmental sustainability. Battery EVs (BEVs) or all-EVs are known as Plug-in Electric Vehicles (PEVs). Battery is the only source of power for PEVs. The large penetration of PEVs into the utility grid causes an increase in electricity demand and a significant shift in the demand curve's shape. To overcome this issue, charging of PEVs should undergo into a scheduled process. In this paper, charge scheduling of EVs by considering the solar PV power generation is presented. Vehicles are scheduled to charge based on the day-ahead forecasting of Solar PV generation. The proposed scheduling technique is developed using MATLAB. To verify the scheduling algorithm's performance, efficiency, and accuracy, tests were carried out under different scenarios for vehicles of different rating. In Australia, Time of Use Pricing (ToUP) is adopted and the pricing scheme of Australian Capital Territory (ACT) is considered in this work." @default.
- W4285306763 created "2022-07-14" @default.
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- W4285306763 date "2022-01-01" @default.
- W4285306763 modified "2023-09-25" @default.
- W4285306763 title "Charge Scheduling Optimization of Plug-In Electric Vehicle Based on Solar Power Forecasting" @default.
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- W4285306763 doi "https://doi.org/10.1007/978-981-19-0193-5_46" @default.
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