An improved method for signal processing and compression in power quality evaluation

Abstract

This paper introduces a new waveform coding technique, based on wavelet transform, for power quality

A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances

“…The huge data gathered creates several troubles in the storage and communication of the data. Hence, the data compression has become an important issue in the monitoring of PQ disturbances [63][64][65][66][67][68][69]. The Spline WT and Radial Basis Function (RBF) neural network have been successfully integrated for PQ monitoring data compression [67].…”

Simultaneous denoising and compression of power system disturbances using sparse representation on overcomplete hybrid dictionaries

“…Many PQ disturbance data compression methods were reported based on lossless and lossy coding techniques [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. In [12,14], three lossless coding methods based on the Huffman, LZ78 and WINZIP algorithms were developed for compressing PQ signals.…”

“…In practice, the electric disturbance signals cover a broad frequency range in the order of a few Hertz (flicker) to a few megahertz (transient phenomena) [1]. Therefore, PQ monitoring devices use higher sampling rate and resolution bit to adequately capture essential morphological features (or PQ indices or power quantities) of different types of PQ disturbance signals introduced because of the load transients, ground faults, dips, lighting strikes and other kinds of power disturbance phenomena [3][4][5][6][7][8][9][10][11]. Furthermore, the long-term PQ monitoring devices can generate large amount of data.…”

“…Furthermore, the long-term PQ monitoring devices can generate large amount of data. Therefore, a reliable and efficient data compression method is highly necessitated to meet the limited channel capacity (or bandwidth) and storage capacity constraints of the wireless PQ monitoring devices [11].…”

Classification of power quality events – A review

“…System [55] is having high computational cost. In [56], compression algorithm based on WT and 2-dimensional representation compression algorithm has been discussed in [49].…”