电力建设2024，Vol.45Issue(6)：37-46,10.DOI:10.12204/j.issn.1000-7229.2024.06.004
基于电动汽车充电站的不平衡配电网自愈及优化运行
Self-healing and Optimal Operation of Unbalanced Distribution Network Based on Electric Vehicle Charging Station
摘要
Abstract
The three-phase equilibrium state of a distribution network is broken owing to the large number of distributed power sources and electric vehicles connected to the distribution network,resulting in the traditional distribution network protection scheme illegally adapting to current development needs. Therefore,this study presents a two-stage fault recovery method for imbalanced distribution networks based on electric vehicle charging stations using an existing balancing system fault recovery technique. The island operation strategy after the fault is determined in the first stage to reduce the fault-recovery cost. In the second stage,a collaborative optimization model is established to determine the output of each charging station when a fault occurs,with the goal of maximizing the operating income of the distribution network,considering the cost of depreciation,operation and maintenance,and the load abandonment penalty of electric vehicle charging stations and distributed generation units. Finally,the enhanced IEEE 33 node system validates the effectiveness of the two-stage fault self-healing model and the optimal operating method suggested in this study. The results reveal that the proposed technique has a lower load rejection rate than the classic island division method,thereby providing a novel solution to the fault-recovery problem of an imbalanced distribution network.关键词
故障恢复/孤岛划分/电动汽车/不平衡配电网Key words
fault recovery/island partition/electric vehicles/unbalanced distribution network分类
信息技术与安全科学引用本文复制引用
李英量,白博旭,朱琦,杨一,李飞..基于电动汽车充电站的不平衡配电网自愈及优化运行[J].电力建设,2024,45(6):37-46,10.基金项目
国家自然科学基金企业创新发展联合基金重点项目(U20B2029) （U20B2029）
国家重点研发计划项目(2023YFC2810902) （2023YFC2810902）
陕西省科技厅面上项目(2024JC-YBMS-405) This work is supported by the Key Project of Enterprise Innovation and Development Joint Fund by National Natural Science Foundation of China(No.U20B2029),the Key Research and Development Program of China(No.2023YFC2810902)and Natural Science Basic Research Program of Shaanxi(No.2024JC-YBMS-405). （2024JC-YBMS-405）
