DAY-AHEAD COORDINATED OPTIMIZATION SCHEDULING METHOD FOR TRUNK MOBILE CHARGING STATION
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United States of America
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Feb 13, 2025
app pub date -
Jul 26, 2024
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Jul 26, 2024
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Abstract
The present disclosure relates to the technical field of optimization of charging facilities, and in particular, to a day-ahead coordinated optimization scheduling method for a truck mobile charging station. The method includes: constructing an optimization scheduling model framework, wherein the optimization scheduling model framework includes: an EV charging demand generation model and a TMCS spatial-temporal model, the EV model is used to determine the position and time of the TMCS charging demand, and the TMCS scheduling model is used to describe the spatial-temporal dynamic characteristics of TMCS operation and complete the coordinated optimization scheduling of TMCS between EV charging service and energy arbitrage; capturing a charging decision process of heterogeneous EV users by adopting MCS and a multinomial Logit model; establishing an extended graph model to describe the spatial-temporal dynamic characteristics of TMCS; and then expressing the coordinated scheduling model as a mixed integer linear programming model.
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