International Journal of Fuzzy Logic and Intelligent Systems

  • 제9권3호
  • /
  • Pages.238-243
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  • 2009
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Power System Voltage Stability Classification Using Interior Point Method Based Support Vector Machine(IPMSVM)

  • Song, Hwa-Chang (Department of Electrical Engineering, Seoul Nat'l University of Technology) ;
  • Dosano, Rodel D. (School of Electronic and Information Eng., Kunsan Nat'l University) ;
  • Lee, Byong-Jun (School of Electrical Engineering, Korea University)
  • 투고 : 2009.03.17
  • 심사 : 2009.06.15
  • 발행 : 2009.09.30
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초록

This paper present same thodology for the classification of power system voltage stability, the trajectory of which to instability is monotonic, using an interior point method based support vector machine(IPMSVM). The SVM based voltage stability classifier canp rovide real-time stability identification only using the local measurement data, without the topological information conventionally used.

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참고문헌

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