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

作　　者：Yongheng Wang Xinwei Shen Yan Xu 

机构地区：[1]Institute for Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen 518055,China [2]School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore

出　　处：《CSEE Journal of Power and Energy Systems》2024年第5期2100-2113,共14页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported in part by National Natural Science Foundation of China(No.52007123).

摘　　要：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 secondorder 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.

关 键 词：Active distribution network large-scale problem reactive power support sequential decomposition V2G charging station 

分 类 号：TM761.12[电气工程—电力系统及自动化]