电力需求侧管理2025，Vol.27Issue(4)：29-34,中插5,7.DOI:10.3969/j.issn.1009-1831.2025.04.005
基于场景聚类的主动配电网鲁棒故障恢复方法
Robust fault restoration method for active distribution networks based on scenario clustering
摘要
Abstract
To address the impact of the uncertainty from distributed energy resources and loads on the reliability of fault recovery strate-gies in active distribution networks,this paper explores the potential of collaborative participation of distributed generation and load in fault recovery.A robust fault recovery method based on scenario clustering is proposed.This method first generates a joint scenario set us-ing historical operational data from the resources and loads,and employs a probabilistic distance reduction technique to obtain a typical scenario library.Subsequently,a two-layer robust fault restoration model for active distribution networks,considering island partitioning and source-load interaction.,is established.The model is solved using a nested iterative solution method,which generates a robust fault restoration scheme.Finally,simulations are conducted using the IEEE 123-node test distribution network,and the results validate the ef-fectiveness and superiority of the proposed robust fault recovery method.关键词
故障恢复/分布式电源/场景聚类/鲁棒优化/应急供电Key words
fault recovery/distributed generation/scene clustering/robust optimization/emergency power supply分类
信息技术与安全科学引用本文复制引用
蓝天,郭文鑫,赵瑞锋,卢建刚,王海龙..基于场景聚类的主动配电网鲁棒故障恢复方法[J].电力需求侧管理,2025,27(4):29-34,中插5,7.基金项目
南方电网公司科技项目(036000KK52222018(GDKJXM20222155)) （036000KK52222018(GDKJXM20222155）
