A stochastic collaborative planning approach for electric vehicle charging stations and power distribution system

Title: A stochastic collaborative planning approach for electric vehicle charging stations and power distribution system
Creator: Wang, Shu; Xu, Yan; Dong, Zhao Yang; Zhao, Junhua; Yao, Weifang; Luo, Fengji; Wang, Yijia
Relation: IEEE Power and Energy Society General Meeting (PESGM 2016). Proceedings of the IEEE Power and Energy Society General Meeting PESGM (Boston, MA 17-21 July, 2016)
Publisher Link: http://dx.doi.org/10.1109/PESGM.2016.7741442
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2016
Description: The increasingly prevalence of electric vehicles (EVs) calls for the effective planning of the charging infrastructure. In this paper, a multi-objective, multi-stage collaborative planning model is proposed for the EV charging stations and power distribution network. The model aims to minimize the investment & operation costs of the distribution system while maximizing the annually captured traffic flow. The uncertainties of the charging loads are considered. The MOEA/D algorithm is employed to find the Pareto frontier of the model. The simulation results prove the effectiveness of the model.
Subject: electric vehicle; charging station; multi-objective optimization; distribution system planning; smart grid
Identifier: http://hdl.handle.net/1959.13/1339266
Identifier: uon:28207
Identifier: ISBN:9781509041688
Language: eng
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