| Title |
A Modeling and Optimal Site of SMES for Power System Stabilization |
| Authors |
김정훈(Kim, Jeong-Hun) ; 임재윤(Im, Jae-Yun) ; 이종필(Lee, Jong-Pil) |
| Keywords |
SMES ; ANN(Artificial Neural Network) ; Stability Analysis |
| Abstract |
In this research, ANN modeling method of SMES unit is developed for stability analysis, and the optimal site is selected to maximize stabilization effect of SMES unit. The ANN is trained by learning data which is obtained through the application of complex test function into the traditional mathematical mode. In order to verify the validity of proposed modeling method, fault data of sample power system is applied to both the traditional and the ANN models. When the response of traditional and proposed models are compared, the average error for the active and reactive power are 2.51[%], and 0.24[%], respectively. From the comparison, the relevance of proposed method is validated. For the transient stability analysis, an application method of the proposed model is presented, and the transient stability performance index, which describes system stabilization effect of SMES at disturbance, is also suggested, and optimal site selection method of SMES is presented. In the viewpoint of the voltage stability, system stabilization criterion of local bus is presented from P¡ⓒV curve, and then optimal site which can maximize the voltage stabilization of the whole power system, is decided from the proposed voltage stability performance index. |