Wavelet packet decomposition for IEC compliant assessment of harmonics under stationary and fluctuating conditions

Lodetti, Stefano ; Bruna, Jorge ; Melero, Julio J. (Universidad de Zaragoza) ; Sanz, José F. (Universidad de Zaragoza)

Resumen: This paper presents the validation and characterization of a wavelet based decomposition method for the assessment of harmonic distortion in power systems, under stationary and non-stationary conditions. It uses Wavelet Packet Decomposition with Butterworth Infinite Impulse Response filters and a decomposition structure, which allows the measurement of both odd and even harmonics, up to the 63rd order, fully compliant with the requirements of the IEC 61000-4-7 standard. The method is shown to fulfil the IEC accuracy requirements for stationary harmonics, obtaining the same accuracy even under fluctuating conditions. Then, it is validated using simulated signals with real harmonic content. The proposed method is proven to be fully equivalent to Fourier analysis under stationary conditions, being often more accurate. Under non-stationary conditions, instead, it provides significantly higher accuracy, while the IEC strategy produces large errors. Lastly, the method is tested with real current and voltage signals, measured in conditions of high harmonic distortion. The proposed strategy provides a method with superior performance for fluctuating harmonics, but at the same time IEC compliant under stationary conditions.

Idioma: Inglés

DOI: 10.3390/en12224389

Año: 2019

Publicado en: Energies 12, 22 (2019), 4389 [15 pp.]
ISSN: 1996-1073

Factor impacto JCR: 2.702 (2019)

Categ. JCR: ENERGY & FUELS rank: 63 / 112 = 0.562 (2019) - Q3 - T2

Factor impacto SCIMAGO: 0.635 - Control and Optimization (Q2) - Electrical and Electronic Engineering (Q2) - Renewable Energy, Sustainability and the Environment (Q2) - Energy Engineering and Power Technology (Q2) - Fuel Technology (Q2) - Energy (miscellaneous) (Q2)

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

Tipo y forma: Article (Published version)

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