Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Load Characteristic Identification and Transient Stability Analysis Using Neural Network

신경회로망에 의한 부하식별과 과도안정도 해석

  • Lee, Jong-Pil (Dept. of Electrical Eng. Chung-Buk National University) ;
  • Kim, Tae-Eung (Dept. of Electrical Eng. Chung-Buk National University) ;
  • Ji, Pyeong-Shik (Dept. of Electrical Eng. Chung-Buk National University) ;
  • Nam, Sang-Cheon (Dept. of Electrical Eng. Chung-Buk National University) ;
  • Lim, Jae-Yoon (Dept. of Electrical Eng. Chung-Nam Junior College) ;
  • Kim, Jung-Hoon (Dept. of Electrical Eng Hong-Ik University)
  • 이종필 (충북대학교 전기공학과) ;
  • 김태응 (충북대학교 전기공학과) ;
  • 지평식 (충북대학교 전기공학과) ;
  • 남상천 (충북대학교 전기공학과) ;
  • 임재윤 (충남전문대학 전기과) ;
  • 김정훈 (홍익대학교 전기제어공학과)
  • Published : 1997.07.21
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Abstract

In this paper, we developed to artificial neural network for load characteristic identification of power system. We can acquire active power and reactive power of individual load depending on the variation of voltage and frequency from the experimentation of a dynamic characteristic of load. The data of the experimental results were be used in learning of ANN. A proposed ANN model is applied to analyze the transient stability. To demonstrate the propriety of the power system transient stability with load model using ANN, the simulation of the two-machine five-bus system is carried out.

Keywords