{"title":"Application of Optimization Method for Control Co-ordination of PSSs and FACTS Devices to Enhance Small-Disturbance Stability","authors":"T. Nguyen, R. Gianto","doi":"10.1109/TDC.2006.1668736","DOIUrl":null,"url":null,"abstract":"This paper presents an approach for designing coordinated controllers of power system stabilizers (PSSs) and FACTS devices stabilizers for enhancing small-disturbance stability. The control co-ordination problem is formulated as a constrained optimization with eigenvalue-based objective function without any need for the linear approximation by which the sensitivities of eigenvalues of state matrix to controller parameters are formed. The eigenvalue-eigenvector equations are used as the equality constraints in the optimization. The controller parameters bounds are formulated as the inequality constraints. Simulation results show that the controller design approach is able to provide better damping and small-disturbance stability performance","PeriodicalId":123024,"journal":{"name":"2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDC.2006.1668736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
This paper presents an approach for designing coordinated controllers of power system stabilizers (PSSs) and FACTS devices stabilizers for enhancing small-disturbance stability. The control co-ordination problem is formulated as a constrained optimization with eigenvalue-based objective function without any need for the linear approximation by which the sensitivities of eigenvalues of state matrix to controller parameters are formed. The eigenvalue-eigenvector equations are used as the equality constraints in the optimization. The controller parameters bounds are formulated as the inequality constraints. Simulation results show that the controller design approach is able to provide better damping and small-disturbance stability performance