{"title":"Adaptive enhancement of synchronous generator stabilizer performance using a parameter optimization technique","authors":"A. M. Farhoud, A. Jalal, A. Ghandakly","doi":"10.1109/IAS.1993.298917","DOIUrl":null,"url":null,"abstract":"A continuous-time parametrically optimized adaptive self-tuning regulator (POSTR) is proposed for the design of power system stabilizers. This POSTR consists of an identification scheme which identifies the nonlinear power system with a predictive model and a control technique based on parameter optimization to derive the control law. The control design consists of choosing a suitable regulator structure and then tuning the associated parameters. The proposed stabilizer design technique has flexibility in specifying the order and the structure of the regulator, which offers advantages in selecting and autotuning well-known effective controller structures. Simulation study results are presented which show that the proposed technique outperforms the fixed parameter conventional stabilizer and the adaptive minimum variance self-tuner.<<ETX>>","PeriodicalId":345027,"journal":{"name":"Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.1993.298917","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
A continuous-time parametrically optimized adaptive self-tuning regulator (POSTR) is proposed for the design of power system stabilizers. This POSTR consists of an identification scheme which identifies the nonlinear power system with a predictive model and a control technique based on parameter optimization to derive the control law. The control design consists of choosing a suitable regulator structure and then tuning the associated parameters. The proposed stabilizer design technique has flexibility in specifying the order and the structure of the regulator, which offers advantages in selecting and autotuning well-known effective controller structures. Simulation study results are presented which show that the proposed technique outperforms the fixed parameter conventional stabilizer and the adaptive minimum variance self-tuner.<>