
1. 国网浙江省电力有限公司绍兴市上虞区供电公司浙江泛海智行电力科技有限公司
2. 国网浙江省电力有限公司绍兴市上虞区供电公司
3. 浙江泛海智行电力科技有限公司
Published:2026
移动端阅览
SHEN Chenghong, ZHANG Wenjing, ZHOU Changxing. A vulnerability assessment algorithm for distribution networks based on multidimensional indicators[J]. 2026, (2).
配电网的重要节点和主要线路失效引起的故障会对网架供电造成巨大影响。为了有效辨别配电网的薄弱环节,本研究为网架数字化和脆弱性评估提出了节点和线路的脆弱性指标,前者分别为改进节点度数、节点介数、节点紧密中心度、节点注入功率、电压偏离度、基于SDE的结构脆弱性指标和基于线路越限考虑的抗扰动脆弱性指标;后者分别为线路度数、线路介数和线路SDE指标。在计算各项指标的基础上,采用熵权法和德尔菲法分别计算节点和线路的脆弱度指标权重,并最终得出节点和边的综合脆弱性评分。本研究最后采用IEEE33网络和某中型城市中心城区的网架来检验算法的有效性
结果证明本文提出的方法可以很好地识别配电网节点和线路的薄弱环节,及时发现潜在的隐患。
Faults caused by the failure of key nodes and major lines in the distribution network can have a huge impact on the power supply of the grid structure. To effectively identify the weak areas in the distribution network
this study proposes vulnerability indicators for nodes and lines for the digitalization of the grid structure and vulnerability assessment. The former includes improved node degree
node betweenness
Closeness centrality
node injection power
voltage deviation
structural vulnerability index based on SDE
and anti-disturbance vulnerability index based on line over-limit consideration. The latter are respectively the line degree
line betweenness centrality and line SDE index. Based on the calculation of various indicators
the entropy weight method and the Delphi method are adopted to calculate the vulnerability index weights of nodes and lines respectively
and finally the comprehensive vulnerability score of nodes and edges is obtained. Finally
this study adopted the IEEE33 network and the grid structure of the central urban area of a medium-sized city to test the effectiveness of the algorithm. The results proved that the method proposed in this paper can well identify the weak areas of distribution network nodes and lines
and discover potential hidden dangers in a timely manner.
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Chowdhury T,Chakrabarti A,Chanda C K. Analysis of vulnerability indices of power grid integrated DG units basedon complex network theory[C].Annual IEEE India Conference. New Delhi,India,2016.
方玉河,陶汉涛,张磊,等.基于风险理论的输电系统连锁故障脆弱性分析[J].电气自动化, 2022(002):044.
曾鑫,杨琦,任建文.基于组合赋权法的输电线路脆弱性评估[J].电力系统及其自动化学报, 2016, 28(8):5.
孙小韦,李鹏,孙立强,等.气候加权小世界网络电网脆弱性分析模型[J].控制工程, 2020(012):027.
丁梁,黄建杨,徐恩,等.考虑复杂环境特性的电网线路脆弱性综合评估与结构优化分析[J].电力系统保护与控制, 2021, 49(13):9.
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李天华,袁永博,张明媛.基于可变模糊聚类的地震作用下电网节点脆弱性分析[J].科学技术与工程, 2018, 18(18):5.
陈超洋,周勇,池明,等.基于复杂网络理论的大电网脆弱性研究综述[J].控制与决策, 2022(004):037.
严奕陆,刘文霞,石庆鑫,等.基于电-水跨层耦合模型的城市电网脆弱性评估[J].电工技术学报, 2024, 39(16):5075-5090.
周特军,李波,郭俊,等.多灾种耦合条件下电网连锁故障分析方法[J].水电能源科学, 2021(011):039.
吕彩艳,程若发,杨宏超,等.分布式电源的微电网及脆弱性评估研究[J].计算机仿真, 2018, 35(5):7.
方玉河,陶汉涛,张磊,等.基于风险理论的输电系统连锁故障脆弱性分析[J].电气自动化, 2022(002):044.
丰皓,李华强,王羽佳,等.计及抗干扰能力和影响力的节点综合脆弱性评估方法[J].电力系统及其自动化学报, 2017, 29(6):7.
Wang Fengyuan,Wang Jie,Ding Yuhai,等.基于GIS的暴雨灾害电网脆弱性评估研究[J].科技通报, 2018(001):034.
张至美,黄少伟,梅生伟,等.基于合作博弈的电网支路脆弱性评估方法[J].电力系统自动化, 2020, 44(6):8.
李炅聪,施嘉昊,武庆,等.含风电接入的电力系统脆弱性分析与量化评估[J].电网与清洁能源, 2020, 36(1):9.
江欢,武家辉,萨妮耶·麦合木提,等.基于VIKOR法和复杂网络理论的电网结构脆弱性综合评价[J].水电能源科学, 2023.
赵任光,刘群英,陈树恒,等.风电场出力随机扰动下的电网概率脆弱性评估[J].现代电力, 2018, 35(5):8.
孙亮,陈洪,安琪.智能电网脆弱性综合评价模型构建及仿真[J].微型电脑应用, 2020, 36(1):4.
廖一名,王鑫,李珊君.基于业务临近度的电力通信网脆弱性分析[J].现代电子技术, 2018, 41(9):6.
YANG Ning.基于AHP的DRASTIC模型对莱州地区地下水脆弱性研究[J].Acta Geologica Sinica, 2019, 93(s1):133-137.
鲁玲,蒲秋平,张瑶瑶,等.计及风,光,荷时序波动特性的配电网线路脆弱性评估[J].Renewable Energy (1671-5292), 2025, 43(4).LU Ling,PU Qiuping,ZHANG Yaoyao,et al.Vulnerability assessment of distribution network lines considering the temporal fluctuation characteristics of wind, light, and load[J].Renewable Energy (1671-5292), 2025, 43(4).
A Comparative Analysis of Disaster Risk, Vulnerability and Resilience Composite Indicators[J].Transactions of Nonferrous Metals Society of China, 2018.
Supaporn LONAPALAWONG,陈长胜,王灿,等.连锁故障中电力系统脆弱性的多图卷积网络分析(英文)[J].Frontiers of Information Technology Electronic Engineering, 2022(12):1848-1862.
A Comparative Analysis of Disaster Risk, Vulnerability and Resilience Composite Indicators[J].Transactions of Nonferrous Metals Society of China, 2018.
刘锐,江涌,黄庆华,等.一种配电网故障区间定位改进算法的研究[J].电力大数据, 2023, 26(8):42-50.
吴辉 吴辉,彭敏放,张海艳,等.基于复杂网络理论的配电网节点脆弱度评估[J].复杂系统与复杂性科学, 2017(1):8.
史文超,李晓明,王孝琳,等.配电网脆弱性评估方法[J].电力系统及其自动化学报, 2018,30(12):7.
Chowdhury T,Chakrabarti A,Chanda C K. Analysis of vulnerability indices of power grid integrated DG units basedon complex network theory[C].Annual IEEE India Conference. New Delhi,India,2016.
方玉河,陶汉涛,张磊,等.基于风险理论的输电系统连锁故障脆弱性分析[J].电气自动化, 2022(002):044.
曾鑫,杨琦,任建文.基于组合赋权法的输电线路脆弱性评估[J].电力系统及其自动化学报, 2016, 28(8):5.
孙小韦,李鹏,孙立强,等.气候加权小世界网络电网脆弱性分析模型[J].控制工程, 2020(012):027.
丁梁,黄建杨,徐恩,等.考虑复杂环境特性的电网线路脆弱性综合评估与结构优化分析[J].电力系统保护与控制, 2021, 49(13):9.
韩泽文,苏永清,岳继光,等.电网脆弱性综合指标建立与评估[J].电力建设, 2015.
于群,冯安强,贺庆,等.基于综合薄弱度的电网节点脆弱性评估[J].现代电力, 2017, 34(2):7.
李天华,袁永博,张明媛.基于可变模糊聚类的地震作用下电网节点脆弱性分析[J].科学技术与工程, 2018, 18(18):5.
陈超洋,周勇,池明,等.基于复杂网络理论的大电网脆弱性研究综述[J].控制与决策, 2022(004):037.
严奕陆,刘文霞,石庆鑫,等.基于电-水跨层耦合模型的城市电网脆弱性评估[J].电工技术学报, 2024, 39(16):5075-5090.
周特军,李波,郭俊,等.多灾种耦合条件下电网连锁故障分析方法[J].水电能源科学, 2021(011):039.
吕彩艳,程若发,杨宏超,等.分布式电源的微电网及脆弱性评估研究[J].计算机仿真, 2018, 35(5):7.
方玉河,陶汉涛,张磊,等.基于风险理论的输电系统连锁故障脆弱性分析[J].电气自动化, 2022(002):044.
丰皓,李华强,王羽佳,等.计及抗干扰能力和影响力的节点综合脆弱性评估方法[J].电力系统及其自动化学报, 2017, 29(6):7.
Wang Fengyuan,Wang Jie,Ding Yuhai,等.基于GIS的暴雨灾害电网脆弱性评估研究[J].科技通报, 2018(001):034.
张至美,黄少伟,梅生伟,等.基于合作博弈的电网支路脆弱性评估方法[J].电力系统自动化, 2020, 44(6):8.
李炅聪,施嘉昊,武庆,等.含风电接入的电力系统脆弱性分析与量化评估[J].电网与清洁能源, 2020, 36(1):9.
江欢,武家辉,萨妮耶·麦合木提,等.基于VIKOR法和复杂网络理论的电网结构脆弱性综合评价[J].水电能源科学, 2023.
赵任光,刘群英,陈树恒,等.风电场出力随机扰动下的电网概率脆弱性评估[J].现代电力, 2018, 35(5):8.
孙亮,陈洪,安琪.智能电网脆弱性综合评价模型构建及仿真[J].微型电脑应用, 2020, 36(1):4.
廖一名,王鑫,李珊君.基于业务临近度的电力通信网脆弱性分析[J].现代电子技术, 2018, 41(9):6.
YANG Ning.基于AHP的DRASTIC模型对莱州地区地下水脆弱性研究[J].Acta Geologica Sinica, 2019, 93(s1):133-137.
鲁玲,蒲秋平,张瑶瑶,等.计及风,光,荷时序波动特性的配电网线路脆弱性评估[J].Renewable Energy (1671-5292), 2025, 43(4).LU Ling,PU Qiuping,ZHANG Yaoyao,et al.Vulnerability assessment of distribution network lines considering the temporal fluctuation characteristics of wind, light, and load[J].Renewable Energy (1671-5292), 2025, 43(4).
A Comparative Analysis of Disaster Risk, Vulnerability and Resilience Composite Indicators[J].Transactions of Nonferrous Metals Society of China, 2018.
Supaporn LONAPALAWONG,陈长胜,王灿,等.连锁故障中电力系统脆弱性的多图卷积网络分析(英文)[J].Frontiers of Information Technology Electronic Engineering, 2022(12):1848-1862.
A Comparative Analysis of Disaster Risk, Vulnerability and Resilience Composite Indicators[J].Transactions of Nonferrous Metals Society of China, 2018.
刘锐,江涌,黄庆华,等.一种配电网故障区间定位改进算法的研究[J].电力大数据, 2023, 26(8):42-50.
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