Novel Planning Approach for Fast-charging Station in Integrated System

Xiaoying Shi; Yinliang Xu; Qinglai Guo; Yujie Sheng; Hongbin Sun; Feng Chen; Yang Zhang

doi:10.17775/CSEEJPES.2021.02380

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Novel Planning Approach for Fast-charging Station in Integrated System

Regular Papers | 更新时间：2026-10-15

- Novel Planning Approach for Fast-charging Station in Integrated System
- CSEE Journal of Power and Energy Systems Vol. 9, Issue 5, Pages: 1832-1844(2023)
- 作者机构：
  
  1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China
  2. Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University,Beijing,China
  3. State Grid Zhejiang Electric Vehicle Service Co. Ltd.,Hangzhou,China
  4. State Grid Zhejiang Electric Power Co. Ltd.,Hangzhou,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.02380
  CLC：
- Published：01 September 2023
- 稿件说明：
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Xiaoying Shi, Yinliang Xu, Qinglai Guo, et al. Novel Planning Approach for Fast-charging Station in Integrated System[J]. CSEE Journal of Power and Energy Systems, 2023, 9(5): 1832-1844.
DOI：

Xiaoying Shi, Yinliang Xu, Qinglai Guo, et al. Novel Planning Approach for Fast-charging Station in Integrated System[J]. CSEE Journal of Power and Energy Systems, 2023, 9(5): 1832-1844. DOI： 10.17775/CSEEJPES.2021.02380.

摘要

Abstract

A promising way to boost popularity of electric vehicles (EVs) is to properly layout fast charging stations (FCSs) by jointly considering interactions among EV drivers

power systems and traffic network constraints. This paper proposes a novel sensitivity analysis-based FCS planning approach

which considers the voltage sensitivity of each sub-network in the distribution network and charging service availability for EV drivers in the transportation network. In addition

energy storage systems are optimally installed to provide voltage regulation service and enhance charging capacity. Simulation tests conducted on two distribution network and transportation network coupled systems validate the efficacy of the proposed approach. Moreover

comparison studies demonstrate the proposed approach outperforms a Voronoi graph and particle swarm optimization combined planning approach in terms of much higher computation efficiency.

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Keywords

references

25. J. P. Hespanha. ( 2004, Oct. 08 ). An efficient MATLAB algorithm for graph partitioning. [Online]. Available: http://web.ece.ucsb.edu/~hespanha/published/tr-ell-gp.pdf.

27. ( 2023 ). Mosek Website . [Online ] . Available: https://www.mosek.com/.

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