87626 20201214111112.0 doi 10.3390/en12224389 sideral 115856 ART-2019-115856 eng (orcid)0000-0001-6095-3776 Lodetti, Stefano Wavelet packet decomposition for IEC compliant assessment of harmonics under stationary and fluctuating conditions 2019 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/EC/H2020/676042/EU/Metrology Excellence Academic Network for Smart Grids/MEAN4SG This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 676042-MEAN4SG info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.702 2019 ENERGY & FUELS 63 / 112 = 0.562 2019 Q3 T2 0.635 2019 Control and Optimization 2019 Q2 Electrical and Electronic Engineering 2019 Q2 Renewable Energy, Sustainability and the Environment 2019 Q2 Energy Engineering and Power Technology 2019 Q2 Fuel Technology 2019 Q2 Energy (miscellaneous) 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-6067-6024 Bruna, Jorge (orcid)0000-0003-2360-0845 Melero, Julio J. Universidad de Zaragoza (orcid)0000-0001-7407-0608 Sanz, José F. Universidad de Zaragoza 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 12, 22 (2019), 4389 [15 pp.] ENERGIES Energies 1996-1073 1020421 http://zaguan.unizar.es/record/87626/files/texto_completo.pdf Versión publicada 107388 http://zaguan.unizar.es/record/87626/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:87626 articulos driver 2020-12-14-11:06:08 ARTICLE