Algorithm Research & Explore
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2633-2638,2645

Optimization model for location of electric vehicle charging station under spatial-temporal demand

Zhou Zheng
Long Hua
Li Shuai
Liang Changhou
Faculty of Information Engineering & Automation, Kunming University of Science & Technology, Kunming 650500, China

Abstract

For the problems of unreasonable layout location and low charging utilization rate of EV charging stations, this paper proposed a spatial-temporal demand model(STDM) for location optimization of charging stations under spatial-temporal demand. By mining the spatial-temporal distribution characteristics of EV travel data and combining the travel and charging behaviors of EVs, it built a charging demand prediction model to obtain the spatial-temporal demand distribution in the region. The method based on spatial-temporal statistics obtained the demand hotspot areas, and the charging coverage rate as the model evaluation parameter considered the service coverage of charging stations. A comprehensive model included the perspectives of users, operators and society with EV distance cost to the station, charging station construction and operation cost and carbon emission cost. Finally, simulation results based on actual data show the feasibility and validity of the model. The results show that the model has set up 12 charging stations in the region to reduce the comprehensive cost, while determining the layout location and the number of charging piles. The optimization model results effectively reduce the EV arrival distance and improve the arrival coverage compared with other methods.

Foundation Support

国家自然科学基金资助项目(61761025)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0035
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2633-2638,2645
Serial Number: 1001-3695(2023)09-011-2633-06

Publish History

[2023-04-19] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

周筝, 龙华, 李帅, 等. 时空需求下的电动汽车充电设施选址优化模型 [J]. 计算机应用研究, 2023, 40 (9): 2633-2638,2645. (Zhou Zheng, Long Hua, Li Shuai, et al. Optimization model for location of electric vehicle charging station under spatial-temporal demand [J]. Application Research of Computers, 2023, 40 (9): 2633-2638,2645. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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