{"title":"Modeling collapse and blackout of power system via AC-based model","authors":"Mei Shengwei, Xue Ancheng, W. Xiaofeng, He Fei","doi":"10.1109/IPEC.2005.207006","DOIUrl":null,"url":null,"abstract":"The collapse and blackout caused by cascading failures in power system is a difficult problem. This work is concerned with the mechanism of collapse in large power systems. Firstly, a AC model for blackout is employed with OPF, which can describe the whole process of power system accurately; second, an algorithm is given to model the cascading failures with overloads and outages; thirdly, simulation performed on IEEE-30 bus system has verified that the proposed model and algorithm can reveal some collapse characteristics such as load level, outage lines and network structure","PeriodicalId":164802,"journal":{"name":"2005 International Power Engineering Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 International Power Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPEC.2005.207006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The collapse and blackout caused by cascading failures in power system is a difficult problem. This work is concerned with the mechanism of collapse in large power systems. Firstly, a AC model for blackout is employed with OPF, which can describe the whole process of power system accurately; second, an algorithm is given to model the cascading failures with overloads and outages; thirdly, simulation performed on IEEE-30 bus system has verified that the proposed model and algorithm can reveal some collapse characteristics such as load level, outage lines and network structure