{"title":"Transient stabilization of SMIB power system using soft computing technique","authors":"Rekha, A. K. Singh","doi":"10.1109/NUICONE.2015.7449631","DOIUrl":null,"url":null,"abstract":"The paper presents the design of fuzzy logic controller (FLC) for enhancing the performance of power system under fault condition. In a power system, several types of fault may occur which causes the system to lose stability. The fault considered in this paper is a three phase short circuit fault which occurred on one of the transmission line. The objective is to improve the performance of the system during and after the fault by using fuzzy controller. The performance of different controllers has been compared and it is found that a better and smoother output is obtained by fuzzy controller.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NUICONE.2015.7449631","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
The paper presents the design of fuzzy logic controller (FLC) for enhancing the performance of power system under fault condition. In a power system, several types of fault may occur which causes the system to lose stability. The fault considered in this paper is a three phase short circuit fault which occurred on one of the transmission line. The objective is to improve the performance of the system during and after the fault by using fuzzy controller. The performance of different controllers has been compared and it is found that a better and smoother output is obtained by fuzzy controller.