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- W4387623718 abstract "The highway transportation system exhibits immense potential for adaptive functioning due to its distinctive operational attributes. This capability permits to harness more renewable energy, leading to a reduction in energy consumption costs. In this article, an integrative energy system optimization model is introduced from the standpoint of highway service zone operators. To simulate the behavior of electric vehicles on highways, an expanded network flow model is formulated considering driving, queueing, and charging actions. This model comprehensively integrates dimensions of time, space, and the state of charge of the vehicles. Consequently, the proposed model is proficient in representing the spatiotemporal and flexible operational traits inherent to electric vehicles. Through a series of numerical case studies executed on a real-world highway system, the effectiveness of the proposed model is demonstrated. These findings substantiate the potential utility and efficacy of our model in enhancing the operation optimization of energy systems within highway transportation systems." @default.
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- W4387623718 date "2023-01-01" @default.
- W4387623718 modified "2023-10-15" @default.
- W4387623718 title "Integrated Energy Management Scheme Considering Transportation Flexibility for Highway Service Zones" @default.
- W4387623718 doi "https://doi.org/10.1109/tia.2023.3324313" @default.
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