Automatic classification of power quality disturbances using orthogonal polynomial approximation and higher-order spectra

직교 다항식 근사법과 고차 통계를 이용한 전력 외란의 자동식별

The objective of this paper is to present an efficient and practical approach to the automatic classification of power quality(PQ) disturbances, where and orthogonal polynomial approximation method is emloyed for the detection and localization of PQ disturbances, and a feature vector, newly extracted form the bispectra of the detected signal, is utilized for the automatic rectgnition of the various types of PQ disturbances. To demonstrae the performance and applicabiliyt of the proposed approach, some simulation results are provided.