A robust wavelet-based hybrid method for the simultaneous measurement of harmonic and supraharmonic distortion

Lodetti, Stefano ; Bruna, Jorge ; Melero, Julio J. (Universidad de Zaragoza) ; Khokhlov, Victor ; Meyer, Jan

Resumen: This paper introduces a new method for the simultaneous measurement of harmonic and supraharmonic distortion with improved robustness against amplitude and power frequency deviations. The proposed algorithm is based on wavelet analysis and it is designed to analyze a detect-all=true10 cycles measurement interval, something crucial when implementing methods to measure harmonic and supraharmonic content according to the IEC 61000-4-7 standard. Discrete Fourier Transform (DFT)-based methods, instead, must analyze a fixed detect-all=true200 interval in order to avoid apparent shifts of the supraharmonic frequency components. The results of the experimental measurements presented in the paper show that the DFT-based methodology suggested in the IEC 61000-4-7 standard produces results affected by the value of the power frequency and amplitude while the proposed method, instead, is insensitive to them. This feature also removes the need of a previous high pass filtering stage, required for the IEC method. Moreover, the proposed method has the additional advantage of working on the same measurement interval to calculate both harmonics and supraharmonics, which reduces the complexity of data handling by avoiding multithreaded Data Acquisition (DAQ) operations.

Idioma: Inglés

DOI: 10.1109/TIM.2020.2981987

Año: 2020

Publicado en: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 69, 9 (2020), 6704-6712
ISSN: 0018-9456

Factor impacto JCR: 4.016 (2020)

Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 11 / 64 = 0.172 (2020) - Q1 - T1
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 60 / 273 = 0.22 (2020) - Q1 - T1

Factor impacto SCIMAGO: 0.82 - Instrumentation (Q1) - Electrical and Electronic Engineering (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/676042/EU/Metrology Excellence Academic Network for Smart Grids/MEAN4SG

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)