Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66259
Title: Stochastic collaborative planning method for electric vehicle charging stations
Authors: Wang, S
Meng, K
Luo, F
Xu, Z
Zheng, Y
Keywords: Charging station
Distribution system planning
Electric vehicle
Multi-objective optimization
Vehicle-to-grid
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, 2016, 7778811, p. 503-508 How to cite?
Abstract: Electric vehicles (EV) is a promising solution for reducing the environment adverse effect of road transport. In this study, a multi-objective, multi-stage collaborative planning model is proposed for the integrated EV charging stations and power distribution network. The proposed model aims to minimize the investment & operation costs of the distribution system and maximize the annually captured traffic flow. The uncertainties for both slow charging load and fast charging load are considered. The MOEA/D algorithm is employed to find the Pareto frontier of the proposed model. Simulations based on a case study of a 54-node distribution system and a 25-node traffic network system proves the effectiveness of proposed method.
Description: 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, Sydney, Australia, 6-9 November 2016
URI: http://hdl.handle.net/10397/66259
ISBN: 9781509040759
DOI: 10.1109/SmartGridComm.2016.7778811
Appears in Collections:Conference Paper

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