| Title |
A Design of Power System Stabilization for SVC System Using Self Tuning Fuzzy Controller |
| Authors |
주석민(Joo, Seok-Min) ; 허동렬(Hur, Dong-Ryol) ; 김해재(Kim, Hai-Jai) |
| Keywords |
Self-Tuning Fuzzy Controller(STF) ; Fuzzy Logic Controller(FLC) ; Static Var Compensator(SVC) ; Steepest Decent Method ; Power System Stabilization(PSS) |
| Abstract |
This paper presents a control approach for designing a self tuning fuzzy controller for a synchronous generator excitation and SVC system. A combination of thyristor-controlled reactors and fixed capacitors (TCR-FC) type SVC is recognized as having the most flexible control and high speed response, which has been widely utilized in power systems, is considered and designed to improve the response of a synchronous generator, as well as controlling the system voltage. The proposed parameter self tuning algorithm of fuzzy controller is based on the steepest decent method using two direction vectors which make error between inference values of fuzzy controller and output values of the specially selected PSS reduce steepestly. Using input-output data pair obtained from PSS, the parameters in antecedent part and in consequent part of fuzzy inference rules are learned and tuned automatically using the proposed steepest decent method. The related simulation results show that the proposed fuzzy controller is more powerful than the conventional ones. |