Journal article Open Access

# Wavelet Packet Decomposition for IEC Compliant Assessment of Harmonics under Stationary and Fluctuating Conditions

Stefano Lodetti; Jorge Bruna; Julio J. Melero; José F. Sanz

### DataCite XML Export

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<identifier identifierType="URL">https://zenodo.org/record/3862414</identifier>
<creators>
<creator>
<creatorName>Stefano Lodetti</creatorName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6095-3776</nameIdentifier>
<affiliation>Instituto Universitario de Investigación CIRCE (Fundación CIRCE—Universidad de Zaragoza)</affiliation>
</creator>
<creator>
<creatorName>Jorge Bruna</creatorName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6067-6024</nameIdentifier>
<affiliation>Instituto Universitario de Investigación CIRCE (Fundación CIRCE—Universidad de Zaragoza)</affiliation>
</creator>
<creator>
<creatorName>Julio J. Melero</creatorName>
<nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2360-0845</nameIdentifier>
<affiliation>Instituto Universitario de Investigación CIRCE (Fundación CIRCE—Universidad de Zaragoza)</affiliation>
</creator>
<creator>
<creatorName>José F. Sanz</creatorName>
<affiliation>Instituto Universitario de Investigación CIRCE (Fundación CIRCE—Universidad de Zaragoza)</affiliation>
</creator>
</creators>
<titles>
<title>Wavelet Packet Decomposition for IEC Compliant Assessment of Harmonics under Stationary and Fluctuating Conditions</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2020</publicationYear>
<subjects>
<subject>harmonic analysis; power quality; wavelet transform; wavelet packet; measurement techniques</subject>
</subjects>
<dates>
<date dateType="Issued">2020-05-28</date>
</dates>
<resourceType resourceTypeGeneral="Text">Journal article</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3862414</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.3390/en12224389</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract">&lt;p&gt;Abstract:&amp;nbsp;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.&lt;/p&gt;</description>
</descriptions>
<fundingReferences>
<fundingReference>
<funderName>European Commission</funderName>
<funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
<awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/676042/">676042</awardNumber>
<awardTitle>Metrology Excellence Academic Network for Smart Grids</awardTitle>
</fundingReference>
</fundingReferences>
</resource>

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