{"title":"Intelligent Load Frequency Control of Two-Area Interconnected Power System and Comparative Analysis","authors":"S. Sathans, A. Swarup","doi":"10.1109/CSNT.2011.81","DOIUrl":null,"url":null,"abstract":"This paper presents the design of an intelligent fuzzy gain scheduled proportional-integral (FGSPI) controller as the supplementary controller for load frequency control (LFC) of two-area interconnected power system with reheat type thermal unit of equal capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1. The proposed FGSPI controller is compared against conventional proportional-integral (PI) controller and state feedback linear quadratic regulator (LQR) controller using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. Comparative analysis indicates that the proposed intelligent controller gives better performance than conventional controllers. Simulations have been performed using Matlab®.","PeriodicalId":294850,"journal":{"name":"2011 International Conference on Communication Systems and Network Technologies","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communication Systems and Network Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSNT.2011.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
This paper presents the design of an intelligent fuzzy gain scheduled proportional-integral (FGSPI) controller as the supplementary controller for load frequency control (LFC) of two-area interconnected power system with reheat type thermal unit of equal capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1. The proposed FGSPI controller is compared against conventional proportional-integral (PI) controller and state feedback linear quadratic regulator (LQR) controller using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. Comparative analysis indicates that the proposed intelligent controller gives better performance than conventional controllers. Simulations have been performed using Matlab®.