{"title":"Load Frequency Control of Two Area Network, Using Fuzzy Logic","authors":"J. Ulasi, A. C. Ugorji","doi":"10.2139/ssrn.3429619","DOIUrl":null,"url":null,"abstract":"A fuzzy logic based load frequency controller model for power systems is developed and simulated in this paper. The proposed simulation model is compared with the classical regulating systems in order to verify and show the advantages of the model and controller developed. The design process of the proposed fuzzy logic controller is given in detail step by step to show a direct and simple approach for designing fuzzy logic controllers in power systems. After the simulation it was observed that the fuzzy logic control came back to normality and continued stable after 20sec unlike the normal approach which didn’t come back to stability though continued at a steady state after about 15sec. Both were distorted after 10secs.","PeriodicalId":127008,"journal":{"name":"EngRN: Electrical Engineering","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EngRN: Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3429619","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
A fuzzy logic based load frequency controller model for power systems is developed and simulated in this paper. The proposed simulation model is compared with the classical regulating systems in order to verify and show the advantages of the model and controller developed. The design process of the proposed fuzzy logic controller is given in detail step by step to show a direct and simple approach for designing fuzzy logic controllers in power systems. After the simulation it was observed that the fuzzy logic control came back to normality and continued stable after 20sec unlike the normal approach which didn’t come back to stability though continued at a steady state after about 15sec. Both were distorted after 10secs.