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- W4316660070 abstract "Popular because they do not produce direct greenhouse gas emissions, many electric vehicles (EVs) have entered the market. For this reason, there is a need for the optimal placement of charging stations, considering not only the cost efficiency but also the environmental impact. This study proposes a method to identify EV charging station locations based on marginal prices and emissions at different locations in power systems. In this method, marginal emission factors (MEF) and locational marginal prices (LMP) are obtained at different locations in a system, and then these results were used to assess the ideal locations for EV charging stations. The method was implemented on a modified RTS-96 test system and the MEF and LMP were obtained on an hourly basis for a representative year, and the appropriate locations of EV charging stations were identified accordingly." @default.
- W4316660070 created "2023-01-17" @default.
- W4316660070 creator A5023761477 @default.
- W4316660070 creator A5041151187 @default.
- W4316660070 date "2022-10-09" @default.
- W4316660070 modified "2023-09-24" @default.
- W4316660070 title "Environmentally Aware Allocation of Electric Vehicle Charging Stations by Analyzing Locational Marginal Emissions" @default.
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- W4316660070 doi "https://doi.org/10.1109/naps56150.2022.10012206" @default.
- W4316660070 hasPublicationYear "2022" @default.
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