{"title":"Design and Performance Evaluation of TCSC and PSS to Mitigate Low Frequency Oscillations","authors":"A. Alhaj, M. Hassan","doi":"10.1109/ICCCEEE.2018.8515893","DOIUrl":null,"url":null,"abstract":"Tuning and performance analysis of thyristor controlled series capacitor (TCSC) and power system stabilizer (PSS) is most important issue to mitigate the phenomena of low frequency oscillations. To damp out all poor modes, coordination between TCSC and PSS controllers under different loading conditions is formulated as optimization problem. Enhancement of damping of electromechanical modes (EM) through maximizing of damping ratio is the objective function which fixed by Particle Swarm optimization (PSO) algorithm. Developed approach is then, implemented on SMIB. To validate effectiveness of proposed algorithm, eigenvalue analysis as well as nonlinear time domain simulation is demonstrated considering different operating modes.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"54 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCEEE.2018.8515893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Tuning and performance analysis of thyristor controlled series capacitor (TCSC) and power system stabilizer (PSS) is most important issue to mitigate the phenomena of low frequency oscillations. To damp out all poor modes, coordination between TCSC and PSS controllers under different loading conditions is formulated as optimization problem. Enhancement of damping of electromechanical modes (EM) through maximizing of damping ratio is the objective function which fixed by Particle Swarm optimization (PSO) algorithm. Developed approach is then, implemented on SMIB. To validate effectiveness of proposed algorithm, eigenvalue analysis as well as nonlinear time domain simulation is demonstrated considering different operating modes.
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