Congestion-aware Deployment of Electric Vehicle Charging Stations
Nowadays,Electric Vehicles(EVs)have gone through a rapid devel-opment since people pay more attention to environmental conser-vation.However,the availability of EVs is seriously restricted by the scarcity of efficient charging infrastructures.In this paper,we propose a congestion-aware charging scheme to deploy Charging Stations(CSs).We first leverage vehicles'dwell events to define the charging demand.Concretely,we take advantage of M/M/x/N queueing model to calculate the probability of a vehicle being re-jected by a CS.We further formulate a charging rejection probability minimization problem based on assessable information of CSs.We have proposed heuristic algorithms to determine the optimal de-ployment strategy.Finally,we perform extensive experiments using a real taxi trajectory dataset.Results demonstrate that our proposed algorithms are effective in minimizing vehicles'charging rejection probability compared with baselines.
Electric vehicles charging stations deployment queueing theory taxi trajectory
Yao Feng Xiong Wang Wenkuan Dai Shujuan Gao Xiaoying Gan Siyi Wang
Dept.of Electronic Engineering,Shanghai Jiao Tong University Shanghai,P.R.China Dept.of Electronic Engineering,Shanghai Jiao Tong University National Mobile Communications Research Shanghai Research Institute of Chemical Industry Co.,Ltd.Shanghai,P.R.China
国际会议
2019国图灵大会(ACM Turing Celebration conference-China 2019 )
成都
英文
577-581
2019-05-17（万方平台首次上网日期，不代表论文的发表时间）