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Battery electric buses charging schedule optimization considering time-of-use electricity price

Journal of Intelligent and Connected Vehicles 2022年第2期5卷 138-145页

作者： Jia He Na Yan Jian Zhang Yang Yu Tao Wang Beijing Key Laboratory of Traffic Engineering Beijing University of TechnologyBeijingChina Transport for New South Wales SydneyAustralia School of Vehicle and Mobility Tsinghua UniversityBeijingChina

Purpose–This paper aims to optimize the charging schedule for battery electric buses(BEBs)to minimize the charging cost considering the time-ofuse electricity ***/methodology/approach–The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming *** objective is to minimize the total charging cost of the BEB *** charge decision of each BEB at the end of each trip is to be *** types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging ***–This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus *** results show that the total charge cost with the optimized charging schedule is 15.56%lower than the actual total charge cost under given *** results also suggest that increasing the number of charging piles can reduce the charging cost to some extent,which can provide a reference for planning the number of charging ***/value–Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources.

关键词： Battery electric bus charging schedule Mixed-integer linear programming Time-of-use electricity price

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