Determination of the number and distribution of charging stations for electric vehicles
Authors: 
Mengna Zhu, Bin Chen, Yatai Ji, Jie ZhangAuthors Info & Claims
Article No.: 17, Pages 1 - 5
Abstract
As the sharp rise of the number of motor vehicles and the consumption of fossil fuels, energy shortage and environment pollution have become serious problems for human. The promotion of electric vehicles turns out to be a significant measure to maintain the balance between energy consumption and environmental safety. However, an important factor constraining the widespread use of electric vehicles is the scarcity of charging facilities. In this paper, we establish a Multi-Objective programming model to China to carry out a case study, and perform a series experiment to acquire the number of charging stations required by Hangzhou in 2020, which is 472. The optimal number of charging stations in Xiacheng district is 11 and they are distributed in locations such as Yintai Square, Jiali Center and so on.
References
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Yifan Zhou, Spatial Distribution Prediction of Urban Electric Vehicle Charging Demand and Research on Charging Station Layout [D], Zhejiang University of Commerce and Industry, 2018.10
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Liting Tian, Shuangzhuo Shi, Zhuo Jia, Statistical modeling method for charging power demand of electric vehicles [J], Power grid technology, 2010
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Gaige Ru, Research on Optimal Operation of Electric Vehicle Charging Station Based on Demand Response [D], An-Hui Engineering University, 2019.6
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Hatton CE, Beella SK, Brezet JC, Wijnia YC, Charging Stations for Urban Settings the design of a product platform for electric vehicle infrastructure in Dutch cities [J], World Electric Vehicle Journal, 2009
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Urban Electric Vehicle Charging Station Layout Planning Study, Wu Lixia
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https://www.tesla.com Conference Name:ACM Woodstock conference
Index Terms
- Determination of the number and distribution of charging stations for electric vehicles
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November 2019
103 pages
Copyright © 2019 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 July 2020
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- Research-article
Funding Sources
- National Natural Science Foundation of China under Grant
- National Key Research & Development (R&D) Plan under Grant
- National Social Science Foundation of China under Grant
Conference
SIGSPATIAL '19
Sponsor:
SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 5, 2019
Illinois, Chicago
Acceptance Rates
Overall Acceptance Rate 30 of 54 submissions, 56%
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