{"title":"Security Situation Assessment and Prediction of Power System Key Nodes","authors":"Tianlun Jiang, Wenxia Liu","doi":"10.1109/ICCSIE55183.2023.10175211","DOIUrl":null,"url":null,"abstract":"The key node deactivation state has a certain impact on the security of the power system, so this paper proposes a power system key node security situation assessment method. By collecting multiple factors affecting the security of key nodes in power systems, studying the impact of key node deactivation on power systems, establishing a key node deactivation assessment method based on the identification model of scenario-based vulnerability nodes and facilities in power systems, and then analyzing the impact on the stability of power grids, and using the historical posture values to predict the security posture of power grids at a future point in time. And the prediction model is verified to have higher prediction accuracy by IEEE-39 bus system.","PeriodicalId":391372,"journal":{"name":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSIE55183.2023.10175211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The key node deactivation state has a certain impact on the security of the power system, so this paper proposes a power system key node security situation assessment method. By collecting multiple factors affecting the security of key nodes in power systems, studying the impact of key node deactivation on power systems, establishing a key node deactivation assessment method based on the identification model of scenario-based vulnerability nodes and facilities in power systems, and then analyzing the impact on the stability of power grids, and using the historical posture values to predict the security posture of power grids at a future point in time. And the prediction model is verified to have higher prediction accuracy by IEEE-39 bus system.