Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Recognition of High Impedance Fault Patterns based on Chaotic Features

카오스 어트랙터를 이용한 전력계통의 고저항 지락사고 패턴분류

  • Shin, Seung-Yeon (Soongsil University, Department of Electrical Engineering) ;
  • Kong, Seong-Gon (Soongsil University, Department of Electrical Engineering)
  • 신승연 (숭실대학교 전기공학과) ;
  • 공성곤 (숭실대학교 전기공학과)
  • Published : 1998.07.20
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Abstract

This paper presents recognition and classification of high impedance fault(HIF) patterns in the electrical power systems based on chaotic features. Chaotic features are obtained from two dimensional chaos attractors reconstructed from fault current waveform. The RBFN is trained with the two types of HIF data generated by the electromagnetic transient program and measured from actual faults. The RBFN successfully classifies normal and the three types of fault patterns based on the binary chaotic features.

Keywords