{"title":"Small signal stability analysis and control in market environment","authors":"Xu Dongjie, Wang Peng, H. Renmu, X. Tao","doi":"10.1109/DRPT.2004.1338515","DOIUrl":null,"url":null,"abstract":"In the deregulated power industry, the increasing number of power marketers and independent power generators increases the variability of power flow patterns in the transmission system, thereby reducing the ability of transmission planners and operators to predict the critical operating conditions and limits. Consequently, the small signal stability problem becomes more complex. And the existing standard methods and tools for small-signal stability are not able to perform security analysis in the claimed response time required for online use. Under this background, we propose a novel approach for power system small signal stability analysis and control which combines the state-of-the-art small signal analysis tools, data mining, and the synchronized phasor measurement techniques.","PeriodicalId":427228,"journal":{"name":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DRPT.2004.1338515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In the deregulated power industry, the increasing number of power marketers and independent power generators increases the variability of power flow patterns in the transmission system, thereby reducing the ability of transmission planners and operators to predict the critical operating conditions and limits. Consequently, the small signal stability problem becomes more complex. And the existing standard methods and tools for small-signal stability are not able to perform security analysis in the claimed response time required for online use. Under this background, we propose a novel approach for power system small signal stability analysis and control which combines the state-of-the-art small signal analysis tools, data mining, and the synchronized phasor measurement techniques.