Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support

Yongheng Wang; Xinwei Shen; Yan Xu

doi:10.17775/CSEEJPES.2023.03930

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Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support

Regular Papers | 更新时间：2026-10-15

- Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support
- Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第5期页码：2100-2113
- 作者机构：
  
  1. Institute for Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China
  2. School of Electrical and Electronic Engineering, Nanyang Technological University,Singapore,639798
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2023.03930
  中图分类号：
- 纸质出版：2024-09-01
- 稿件说明：
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Yongheng Wang, Xinwei Shen, Yan Xu. Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):2100-2113.

Yongheng Wang, Xinwei Shen, Yan Xu. Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 2100-2113.
Yongheng Wang, Xinwei Shen, Yan Xu. Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):2100-2113. DOI： 10.17775/CSEEJPES.2023.03930.

Yongheng Wang, Xinwei Shen, Yan Xu. Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 2100-2113. DOI： 10.17775/CSEEJPES.2023.03930.

摘要

Abstract

This paper proposes a collaborative planning model for active distribution network (ADN) and electric vehicle (EV) charging stations that fully considers vehicle-to-grid (V2G) function and reactive power support of EVs in different regions. This paper employs a sequential decomposition method based on physical characteristics of the problem

breaking down the holistic problem into two sub-problems for solution. Subproblem I optimizes the charging and discharging behavior of autopilot electric vehicles (AEVs) using a mixed-integer linear programming (MILP) model. Subproblem II uses a mixed-integer second-order cone programming (MISOCP) model to plan ADN and retrofit or construct V2G charging stations (V2GCS)

as well as multiple distributed generation resources (DGRs). The paper also analyzes the impact of bi-directional active-reactive power interaction of V2GCS on ADN planning. The presented model is tested in the 47-node ADN in Longgang District

Shenzhen

China

and the IEEE 33-node ADN

demonstrating that decomposition can significantly improve the speed of solving large-scale problems while maintaining accuracy with low AEV penetration.

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