PQ DISTURBANCE IDENTIFICATION AND PARAMETER ESTIMATION USING MATHEMATICAL MORPHOLOGY AND NUMERICAL INTEGRAL OPERATOR

C. X. Xie ； T. Y. Ji ； M. S. Li ； Z. Lei ； Q. H. Wu

《電機工程學刊》 26卷2期 (2019/04) Pp. 67-77

https://doi.org/10.6329/CIEE.201904_26(2).0003

摘要

This paper proposes an effective method for detection and classification of power quality (PQ) disturbances. The PQ signals are processed by the method which combines a novel mathematical morphological operator (NMMO) and a numerical integral operator (NIO) with short-time Fourier transform (STFT). The first two operators are used to detect the existence of PQ disturbances, and the features of the disturbances are extracted by NMMO and STFT, which are then used to form an improved decision tree (IDT) that can classify the disturbances. Moreover, based on NMMO and NIO, some indicators are developed to realize parameter identification and frequency tracking. Comprehensive simulation studies have been conducted, on 10 types of single and multiple disturbance signals including swell, sag, interruption, harmonics, notch, oscillation, flicker, swell mixed with harmonics and sag mixed with harmonics, to demonstrate the feasibility and superiority of the proposed method. The results have verified that the proposed method is effective and accurate for PQ disturbance detection, classification and parameter identification.

關鍵字

Power quality disturbance identification ； parameter estimation ； mathematical morphology ； numerical integral ； decision tree