A simplistic mathematical approach for detection and classification of power quality events

Identification of Power Quality Transient Disturbance Based on S Transform and Wavelet Transform

“…In recent years, the identification of transient disturbance of power quality has attracted great interest from experts and scholars, and some effective solutions have been proposed. Power quality transient disturbance signal recognition problems used to be processed using signal processing techniques such as Fourier transform, wavelet transform, Hilbert transform and S transform [1][2][3][4][5][6][7][8][9][10].The author [1] proposed a simplified mathematical method to detect and identify different types of power quality categories, the mathematical methods include wavelet transform, Hilbert transform, and an overall algorithm for power system monitoring; In [3], using wavelet transform to detect signal interference in the quality of power; On the basis of these transformations, many experts and scholars improve wavelet transform and S transform [8][9];In [9], an improved discrete S transform is proposed for detecting power quality disturbances. Of course, there are also many new algorithms and theories for power quality detection [10][11][12][13][14][15][16][17][18][19][20][21].The author [10] proposed a new method for power quality disturbance detection and classification, Singular spectrum analysis and Curvelet are used for signal decomposition and extraction features, and are classified by deep learning and multi-class SVM, which can be applied to many types of Power quality disturbance signal;An adaptive process noise covariance Kalman filter [11] is used to detect power quality disturbances present in a distorted power signal; The author [12] proposed a method based on Histogram of Oriented Gradients and support vector machine to check power quality events.…”

Güç Kalitesi Bozulmalarının 2 Boyutlu Ayrık Dalgacık Dönüşümü ve Torbalama Karar Ağaçları Yöntemi ile Sınıflandırılması

“…Son zamanlarda elektrik şebekesinde yenilenebilir enerji kaynaklarının, ileri hızlı kontrol donanımlarının ve karmaşık sistem bağlantılarının kullanımının artması, Güç Kalitesi (GK) bozulmalarında artışa sebep olmakta ve bu durum konut, sanayi ve akademik alanlarda kritik bir sorun olarak ortaya çıkmaktadır [1,2]. GK bozulmaları, elektrik şebekesinin ekonomik işletilmesini olumsuz etkilemektedir [3].…”