Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model

Shiqu Xiao; Xia Lei; Tao Huang; Xiang Wang

doi:10.17775/CSEEJPES.2021.01470

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Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model

Regular Papers | 更新时间：2026-10-15

- Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model
- Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model
- 中国电机工程学会电力与能源系统学报(英文) 2023年9卷第4期页码：1505-1516
- 作者机构：
  
  1. School of Electrical Engineering and Electronic Information, Xihua University,Chengdu,China
  2. Department Ingegneria Elettrica, Politecnico Di Torino, Torino,Italy
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.01470
  中图分类号：
- 纸质出版：2023-07-01
- 稿件说明：
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Shiqu Xiao, Xia Lei, Tao Huang, 等. Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(4):1505-1516.

Shiqu Xiao, Xia Lei, Tao Huang, et al. Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model[J]. CSEE Journal of Power and Energy Systems, 2023, 9(4): 1505-1516.
Shiqu Xiao, Xia Lei, Tao Huang, 等. Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model[J]. 中国电机工程学会电力与能源系统学报(英文), 2023,9(4):1505-1516. DOI： 10.17775/CSEEJPES.2021.01470.

Shiqu Xiao, Xia Lei, Tao Huang, et al. Coordinated Planning for Fast Charging Stations and Distribution Networks Based on an Improved Flow Capture Location Model[J]. CSEE Journal of Power and Energy Systems, 2023, 9(4): 1505-1516. DOI： 10.17775/CSEEJPES.2021.01470.

摘要

Abstract

The increasing penetration of plug-in electric vehicles (PEVs) should lead to a significant reduction in greenhouse gas emissions. Nevertheless

the development of PEVs is limited by the lack of charging facilities

which is constrained by the coupled transportation-distribution network. This paper presents a stochastic bi-level model for the optimal allocation of fast charging stations (FCSs) and distribution network expansion planning (DNEP). First

a sequential capacitated flow-capturing location-allocation model (SCFCLM) is proposed at the lower level to optimize the allocation of FCSs on the transportation network. Monte-Carlo simulation (MCS) is utilized to estimate daily charging load requirements. Then

we propose an economic model for DNEP at the upper level

and the chance constrained method is employed to relax power flow constraints to address the uncertainties of loads. Numerical experiments are conducted to illustrate the proposed planning method. The influences of the flow capturing sequence and relaxed confidence level on the PEV charging load

FCS planning strategies and DNEP schemes are analyzed.

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Keywords

references

27. C. Olson, E. Lee, and B. Langdon, ( 2005 ). “ White Paper on Ion Beam Transport for ICF: Issues, RD Need, and Tri-Lab Plans ,” [Online ] : Available: https://escholarship.org/uc/item/5zs0k05p.

29. L. Zhang, R. Y. Huo, G. W. Cai, K. L. Hai, L. Lyu, and P. Wang, “A joint planning method of charging piles and charging-battery swapping stations considering spatial-temporal distribution of electric vehicles,” CSEE Journal of Power and Energy Systems . [Online ] , Available: 10.17775/CSEEJPES.2021.05780.

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