On the Automatic Classification of Power Quality Disturbances

전력 외란의 자동 식별 알고리즘

  • Published : 1995.07.20

Abstract

This paper proposes an effective algorithm for automatic classification of power quality disturbances(PQD), where wavelet theory is utilized for the detection of PQD, and three neural networks such as MLP, RBF, MLP-Class are combined in parallel to classify PQD. To demonstrate the performance of the proposed system, simulation results are provided.

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