V. Nguyen, Tien Minh Cao, Hung Nguyen, Hung Kim Le
{"title":"Using an intelligent ANFIS-Online controller for STATCOM in improving dynamic voltage stability","authors":"V. Nguyen, Tien Minh Cao, Hung Nguyen, Hung Kim Le","doi":"10.2298/fuee2003395n","DOIUrl":null,"url":null,"abstract":"This research has introduced the intelligent ANFIS-Online controller of\n STATCOM for improving the dynamic voltage on the power network under a\n 3-phase short circuit fault. The ANFIS-Online is made using an artificial\n neural network identifier. And based on the identifier, the premise and\n consequent parameters of ANFIS are adjusted timely. To demonstrate the\n performance of the suggested controller, the transient waves are shown to\n describe the effectiveness of the intelligent ANFIS-Online controller to\n enhance the transient response of the research system under a 3-phase short\n circuit fault. It's shown that the suggested intelligent ANFIS-Online\n controller has provided waves better than the other controllers such as\n ANFIS controller, ANFIS-PSO controller, ANFIS-GA controller for STATCOM\n equipment to enhance transient voltage stability.","PeriodicalId":44296,"journal":{"name":"Facta Universitatis-Series Electronics and Energetics","volume":"52 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Facta Universitatis-Series Electronics and Energetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2298/fuee2003395n","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 2
Abstract
This research has introduced the intelligent ANFIS-Online controller of
STATCOM for improving the dynamic voltage on the power network under a
3-phase short circuit fault. The ANFIS-Online is made using an artificial
neural network identifier. And based on the identifier, the premise and
consequent parameters of ANFIS are adjusted timely. To demonstrate the
performance of the suggested controller, the transient waves are shown to
describe the effectiveness of the intelligent ANFIS-Online controller to
enhance the transient response of the research system under a 3-phase short
circuit fault. It's shown that the suggested intelligent ANFIS-Online
controller has provided waves better than the other controllers such as
ANFIS controller, ANFIS-PSO controller, ANFIS-GA controller for STATCOM
equipment to enhance transient voltage stability.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
