Open AccessUsing an intelligent ANFIS-Online controller for STATCOM in improving dynamic voltage stability
Author(s) -
Van Huan Nguyen,
Tien Minh Cao,
Hung T. Nguyen,
Hung Le
Publication year - 2020
Publication title -
facta universitatis. series electronics and energetics/facta universitatis. series: electronics and energetics
Language(s) - English
Resource type - Journals
eISSN - 2217-5997
pISSN - 0353-3670
DOI - 10.2298/fuee2003395n
Subject(s) - adaptive neuro fuzzy inference system , controller (irrigation) , transient (computer programming) , control theory (sociology) , identifier , computer science , artificial neural network , fault (geology) , control engineering , engineering , artificial intelligence , control (management) , fuzzy control system , seismology , geology , agronomy , biology , programming language , fuzzy logic , operating system
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.