E. Coelho, Joelson C. Thomazelli, M. Paiva, M. Segatto
{"title":"A complex network analysis of the Brazilian Power Test System","authors":"E. Coelho, Joelson C. Thomazelli, M. Paiva, M. Segatto","doi":"10.1109/ISGT-LA.2015.7381138","DOIUrl":null,"url":null,"abstract":"This paper presents a complex network analysis of the Brazilian Power Test System (BPTS), which is based on the real Brazilian electric power system. The aim is to model the BPTS cases via graphs, characterize them according to existing complex network models, compute several invariants from graph and complex networks, and analyze them with respect to these invariants, in order to obtain useful information for the application. The analysis of these metrics applied to the electrical power system can help us to identify and solve problems such as network overload, catastrophic failures and blackouts. Each invariant leads to different critical nodes. Thus, we could look for the best combination of invariants and weights to analyze power system networks.","PeriodicalId":345318,"journal":{"name":"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-LA.2015.7381138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
This paper presents a complex network analysis of the Brazilian Power Test System (BPTS), which is based on the real Brazilian electric power system. The aim is to model the BPTS cases via graphs, characterize them according to existing complex network models, compute several invariants from graph and complex networks, and analyze them with respect to these invariants, in order to obtain useful information for the application. The analysis of these metrics applied to the electrical power system can help us to identify and solve problems such as network overload, catastrophic failures and blackouts. Each invariant leads to different critical nodes. Thus, we could look for the best combination of invariants and weights to analyze power system networks.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
