Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Identification of SMES by ANN and Stability Analysis Included SMES

신경회로망에 의한 SMES 표현과 안정도 해석

  • Kang, Hyoung-Goo (Dept. of Electrical & Control Engineering, Hong-Ik University) ;
  • Kim, Sung-Il (Dept. of Electrical & Control Engineering, Hong-Ik University) ;
  • Lim, Jae-Yoon (Dept. of Electrical Engineering, Chung-Nam Junior College) ;
  • Kim, Jung-Hoon (Dept. of Electrical & Control Engineering, Hong-Ik University)
  • 강형구 (홍익대학교 전기.제어공학과) ;
  • 김성일 (홍익대학교 전기.제어공학과) ;
  • 임재윤 (충남전문대학교 전기공학과) ;
  • 김정훈 (홍익대학교 전기.제어공학과)
  • Published : 1996.07.22
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Abstract

An artificial neural network(ANN) modeling is presented using the Input-output power characteristics of SMES. When using the ANN which functions as a model-free system, network construction and determination of learning parameters are carefully chosen to represent the complicated nonlinear input-output relation from the black-boxed SMES system. The proposed ANN-based SMES model is applied to analyse the power system stability and the simulation results provide the property of this approach.

Keywords