[1]王要强,李午祥,韩　婧,等.考虑多类型极端天气的配电网多维韧性评估方法[J].郑州大学学报(工学版),2025,46(06):84-92.[doi:10.13705/j.issn.1671-6833.2025.03.024]
　WANG Yaoqiang,LI Wuxiang,HAN Jing,et al.Multi-dimensional Resilience Assessment Method for Distribution Networks Considering Multiple-Types of Extreme Weather[J].Journal of Zhengzhou University (Engineering Science),2025,46(06):84-92.[doi:10.13705/j.issn.1671-6833.2025.03.024]
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考虑多类型极端天气的配电网多维韧性评估方法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
46
期数:
2025年06期
页码:
84-92
栏目:
出版日期:
2025-10-22

文章信息/Info

Title:
Multi-dimensional Resilience Assessment Method for Distribution Networks Considering Multiple-Types of Extreme Weather
文章编号:
1671-6833(2025)06-0084-09
作者:
王要强1; 2;  李午祥1; 2;  韩　婧1; 2;  梁　军1; 3;  袁　嘉1; 2
1.郑州大学 电气与信息工程学院,河南 郑州 450001;2.河南省电力电子与电力系统工程技术研究中心,河南 郑州 450001;3.卡迪夫大学 工程学院,英国 卡迪夫CF243AA
Author(s):
WANG Yaoqiang1; 2;  LI Wuxiang1; 2;  HAN Jing1; 2;  LIANG Jun1; 3;  YUAN Jia1; 2
1.School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2.Henan Engineering Research Center of Power Electronics and Energy Systems, Zhengzhou 450001, China; 3.School of Engineering, Cardiff University, Cardiff CF243AA, UK
关键词:
配电网;  极端灾害;  韧性评估;  韧性指标;  灾后恢复;  指标权重
Keywords:
distribution network;  extreme disasters;  resilience assessment;  resilience indicators;  post-disaster recovery;  index weight
分类号:
TM73P429
DOI:
10.13705/j.issn.1671-6833.2025.03.024
文献标志码:
A
摘要:
全球极端灾害频发,极端天气事件严重威胁配电网安全运行。为提高配电网应对极端灾害的韧性,提出了一种多类型极端天气模型及多维韧性评估方法。首先,基于台风、暴雨及冰暴灾害影响机理,构建统一的配电网元件故障率模型,并利用蒙特卡洛采样与K-means聚类算法筛选典型故障场景;其次,提出基于综合权重法的多维韧性评估指标体系,涵盖防御力、适应力和恢复力,并构建多源协同优化的灾后恢复模型以验证所提韧性评估方法的有效性;最后,以IEEE33节点和IEEE69节点系统为例,对比加固线路、分布式电源动态调度、提高移动电源容量3种措施。结果表明:所提方法较传统主观赋权评估法得分提升11.2%,评估结果更加准确全面。
Abstract:
Extreme disasters occur frequently around the world, and extreme weather events seriously threaten the safe operation of distribution networks. In order to improve the resilience of distribution network to extreme disasters, a multi-type extreme weather model and a multi-dimensional resilience assessment method were proposed in this study. Firstly, based on the impact mechanism of typhoons, heavy rains and ice storms, a unified distribution network component failure rate model was constructed, and Monte Carlo sampling and K-means clustering algorithms were used to screen typical fault scenarios. Secondly, based on a comprehensive weight method a multi-dimensional resilience assessment index system was used to cover defense, adaptability and resilience, and a multisource collaborative optimization disaster the post-recovery model was built to verify the effectiveness of the proposed resilience assessment method. Finally, taking the IEEE33 node and IEEE69 node systems as examples, the three measures of reinforcing lines, dynamic dispatching of distributed power sources, and increasing mobile power capacity were compared. The results showed that the proposed method was effective. Compared with the traditional one the score of the proposed method increased by 11.2%, and the evaluation results were more accurate and comprehensive.

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更新日期/Last Update: 2025-10-21