Journal article Open Access

Online Estimation of Cable Harmonic Impedance in Low-Voltage Distribution Systems

Stanislav Babaev; Sjef Cobben; Vladimir Cuk; Helko van den Brom


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  <identifier identifierType="URL">https://zenodo.org/record/3895801</identifier>
  <creators>
    <creator>
      <creatorName>Stanislav Babaev</creatorName>
      <affiliation>TU Eindhoven</affiliation>
    </creator>
    <creator>
      <creatorName>Sjef Cobben</creatorName>
      <affiliation>TU Eindhoven</affiliation>
    </creator>
    <creator>
      <creatorName>Vladimir Cuk</creatorName>
      <affiliation>TU Eindhoven</affiliation>
    </creator>
    <creator>
      <creatorName>Helko van den Brom</creatorName>
      <affiliation>VSL</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Online Estimation of Cable Harmonic Impedance in Low-Voltage Distribution Systems</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Impedance measurement, measurement techniques, measurement uncertainty, power quality, power system harmonics</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-07-03</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3895801</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/TIM.2019.2926690</relatedIdentifier>
  </relatedIdentifiers>
  <version>published version - open access</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Incorrect values of cable harmonic impedance can&lt;br&gt;
lead to wrong conclusions when assessing an impact of current&lt;br&gt;
distortion on the power network. A theoretical derivation&lt;br&gt;
of resistance and reactance for harmonic frequencies is not&lt;br&gt;
sufficient as it neglects operating conditions of cables as well&lt;br&gt;
as their configuration and actual installation pattern. In this&lt;br&gt;
paper, a noninvasive procedure for estimating parameters of the&lt;br&gt;
low-voltage cable is proposed. On contrary to invasive methods,&lt;br&gt;
the proposed technique does not require any external sources&lt;br&gt;
of harmonic excitation, and consequently, it does not introduce&lt;br&gt;
additional disturbances to the system. A disconnection of the&lt;br&gt;
cable is not required as the procedure meant to be performed&lt;br&gt;
online. The methodology employs natural variations of harmonic&lt;br&gt;
currents and voltages; however, the impedance angle is preserved&lt;br&gt;
due to the utilization of synchronized measurement samples. The&lt;br&gt;
developed signal processing algorithm provides noise reduction&lt;br&gt;
capabilities and smoothing of the output in presence of fluctuating&lt;br&gt;
harmonics. In addition, an attention is given to the metrological&lt;br&gt;
characterization of the measurement system and evaluation of&lt;br&gt;
uncertainty of impedance values. The results of the laboratory&lt;br&gt;
experiment indicate that for selective harmonics the variations&lt;br&gt;
of impedance estimates are no more than 10 mOhm, which is in the&lt;br&gt;
range of calculated uncertainty values. The practical applicability&lt;br&gt;
of the method is discussed together with its limitations.&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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