| Title |
Design of an Adaptive Neurofuzzy-Based Power System Stabilizer |
| Authors |
정형환(Jeong, Hyeong-Hwan) ; 정문규(Jeong, Mun-Gyu) ; 김상효(Kim, Sang-Hyo) |
| Keywords |
Power System Stabilizer(PSS) ; Fuzzy Logic Control(FLC) ; Artificial Neural Network(ANN) ; Adaptive Neurofuzzy-based Power System Stabilizer(ANF PSS) |
| Abstract |
The power system stabilizer(PSS) is important for the suppression of low-frequency oscillation and the improvement of system stability. In this paper, An Adaptive Neurofuzzy-based Power System Stabilizer(ANF PSS) is proposed as the new PSS type. The proposed PSS employs a multi-layer adaptive network. The network is trained directly from the input and the output of the generating unit. The algorithm combines the advantages of the Artificial Neural Network(ANN) and Fuzzy Logic Control(FLC) schemes. Studies show that the proposed ANF PSS can provide good damping of the power system over the wide range of operating conditions and improve the dynamic performance of the system. |