| Title |
Optimal Design of Power System Stabilizer Using IA-QFT |
| Authors |
정형환(Jeong, Hyeong-Hwan) ; 이정필(Lee, Jeong-Pil) ; 정문규(Jeong, Mun-Gyu) ; 주수원(Ju, Su-Won) |
| Keywords |
Quantitative Feedback Theory(QFT) ; Loop Shaping ; Immune Algorithm(IA) ; Robustness ; Power System Stabilizer(PSS) |
| Abstract |
In this paper, optimal tuning problem of power system stabilizer using IA-QFT is investigated to improve power system dynamic stability in spite of parameter variation and disturbance uncertainties. The most important feature of QFT is that it is able to deal with the design problem of complicated uncertain plants. However, loop shaping is currently performed in computer aided design environments manually and it is usually a trial and error procedure. It is difficult to design a controller to satisfy all specifications manually. To solve this problem, a study of design automation using IA needs to be taken into account. The robustness of the proposed controller has been investigated on a single machine infinite bus model. The results are shown that the proposed PSS using IA-QFT is more robust than conventional PSS. |