Application of wavelets to classify power system disturbances

Shyh Jier Huang, Cheng Tao Hsieh, Ching Lien Huang

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

The wavelet transform approach is proposed in this paper to classify various power system disturbances. On encountering various disturbances, the proposed method is useful to categorize these shortfalls into different groups so that operators can decide on strategies to suppress or eliminate them effectively. Different from those Fourier-based transforms, the wavelet transform approach is more efficient in tracking signal dynamics as time varies. The method has been tested through the classification of various simulated disturbances, including voltage sag, voltage swell, momentary interruption, oscillatory transients and flat-tops. Testing results showed the feasibility and practicality of the method for the applications.

Original languageEnglish
Pages (from-to)87-93
Number of pages7
JournalElectric Power Systems Research
Volume47
Issue number2
Publication statusPublished - 1998 Oct 15

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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