Wavelet packet transform for RMS values and power measurements

Abstract

Power Engineering Letters T his section of the magazine offers a vehicle that speeds publication of new results, discoveries, and developments. The section affords authors the opportunity to publish contributions within a few months of submission to ensure rapid dissemination of ideas and timely archiving of developments in our rapidly changing field. Original and significant contributions in applications, case studies, and research in all fields of power engineering are invited. Of specific interest are contributions defining emerging problems and special needs in specific areas. Brief notes may also comment on published areas of established power topics.

A virtual measurement instrument for electrical power quality analysis using wavelets

“…11, with Vaidyanathan with 24 coefficients as the mother wavelet is used. This mother wavelet function has been proved in [11,12] as the most appropriate wavelet function for harmonic analysis (it has the best frequency characteristics, it is smoother in the passband and it shows less spectral leakage). Selecting 1.6 kHz sampling rate and using sampling window widths of 10 cycles of the fundamental frequency (200 ms in a 50-Hz power system), the output of the wavelet decomposition tree is formed by 32 bands of 25 Hz width, from 0 to 800 Hz (the Nyquist frequency for the sampling rate used), d 1 (n) to d 32 (n) in Fig.…”

Selección de una wavelet madre para el análisis frecuencial de señales eléctricas transitorias usando WPD

“…Aplicando la WPD se determinó el valor RMS de la señal a partir de los coeficientes de transformación, utilizando (9) [21][22].…”

Application of Wavelet Analysis in Power Systems

“…Daubechies wavelet function with 20 coefficients (db20) (Parameswariah & Cox, 2002), and Vaidyanathan wavelet function with 24 coefficients (v24) (Hamid & Kawasaki, 2001; are proposed as the best solutions for harmonic analysis.…”