{"title":"Application of Fuzzy-PIDF Controller for Automatic Generation Control Using Termite Correlation PSO Algorithm","authors":"M. Debnath, Sayantan Sinha, R. Mallick","doi":"10.15866/IREACO.V10I5.12775","DOIUrl":null,"url":null,"abstract":"A novel Fuzzy-PID controller with derivative filter has been put forward in this paper for the Automatic Generation control of a two area combined power system. The controller gains and the scaling factors of the Fuzzy Logic Controller are tuned by a newly accepted optimization scheme called the Termite Correlation PSO algorithm. The stability of the system is tested under a step load disturbance of 0.01 p.u. The robustness of the system is further established by the application of a random load disturbance in the system. The transient performance of the system in terms of settling time, maximum overshoots and minimum undershoots are observed and the supremacy of the system is tested by comparing it to the Fuzzy-PID controller and the conventional PID controller. Finally, the analysis is extended by varying the parameters of the system to verify the sensitiveness of the recommended controller.","PeriodicalId":38433,"journal":{"name":"International Review of Automatic Control","volume":"10 1","pages":"380-389"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Automatic Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15866/IREACO.V10I5.12775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 2
Abstract
A novel Fuzzy-PID controller with derivative filter has been put forward in this paper for the Automatic Generation control of a two area combined power system. The controller gains and the scaling factors of the Fuzzy Logic Controller are tuned by a newly accepted optimization scheme called the Termite Correlation PSO algorithm. The stability of the system is tested under a step load disturbance of 0.01 p.u. The robustness of the system is further established by the application of a random load disturbance in the system. The transient performance of the system in terms of settling time, maximum overshoots and minimum undershoots are observed and the supremacy of the system is tested by comparing it to the Fuzzy-PID controller and the conventional PID controller. Finally, the analysis is extended by varying the parameters of the system to verify the sensitiveness of the recommended controller.