| Title |
Design of Nonlinear FACTS Controller with Neural Networks for Power System Stabilization |
| Authors |
박성욱(Park, Seong-Wook) ; 서보혁(Seo, Bo-Hyeok) |
| Keywords |
FACT Controller ; UPFC ; Neural Networks ; Steady-State Analysis |
| Abstract |
We propose a intelligent controller for FACTS device to stabilize a power system. In order to identify the nonlinear characteristics of the power system and to estimate a control signal, an artificial neural network is utilized. Parameter and location of Unified Power Flow Controller(UPFC) on power system operating conditions are discussed. A UPFC is composed of an excitation transformer, a boosting, two three-phase GTO based voltage source converters, and a dc link capacitor. The proposed controller is applied to UPFC to verified the effectiveness of the proposed control system. The results show that the proposed nonlinear FACTS controller is able to enhance the transient stability of a three machine and nine bus system. |