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This work demonstrates improved scheduling of electric vehicles to reduce CO2 emissions and optimize costs, indicating an effective approach for smart distribution systems.
In this work, a multi objective scheduling approach is proposed for large-scale application and adoption of Electric Vehicle (EV) in the distribution system. The amount of main grid electricity price production and CO2 emissions are minimized using Arithmetic Optimization Algorithm (AOA) for IEEE-33 bus distribution system incorporated with EV. It is also found that AOA is performed very well to identify the peak hours of the day by analysing different loads curve as well as the load forecasting reports.
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Nath et al. (2025) studied this question.
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