{"title":"A small-signal stability index for power system dynamic impact assessment using time-domain simulations","authors":"F. R. S. Sevilla, L. Vanfretti","doi":"10.1109/PESGM.2014.6938842","DOIUrl":null,"url":null,"abstract":"In this paper, a three layer small-signal stability index to assess power system dynamic simulations is presented. The index is calculated from an estimate of the eigenvalues of the system, which are determined using time-series from dynamic simulations. The methodology assumes that no other information about the system (model) is available. In the first layer, which is the main future of the index, a scalar (positive or negative) indicates if any of the modes have a damping ratio less than a predefined value. In the second layer, a vector is used to specify which pre-defined damping ratios were violated and finally, in the third layer a matrix is used to retrieve precise information about which mode has violated the pre-defined damping requirements of the system. The proposed index is first illustrated using synthetic data and then the index is validated using simulation data from the KTH-Nordic32 system.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE PES General Meeting | Conference & Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESGM.2014.6938842","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
In this paper, a three layer small-signal stability index to assess power system dynamic simulations is presented. The index is calculated from an estimate of the eigenvalues of the system, which are determined using time-series from dynamic simulations. The methodology assumes that no other information about the system (model) is available. In the first layer, which is the main future of the index, a scalar (positive or negative) indicates if any of the modes have a damping ratio less than a predefined value. In the second layer, a vector is used to specify which pre-defined damping ratios were violated and finally, in the third layer a matrix is used to retrieve precise information about which mode has violated the pre-defined damping requirements of the system. The proposed index is first illustrated using synthetic data and then the index is validated using simulation data from the KTH-Nordic32 system.