Journal article Open Access

OPTIMAL LOCATION OF ENERGY STORAGE SYSTEMS WITH ROBUST OPTIMIZATION

Chowdhury, Nayeem; Pilo, Fabrizio; Matteo Troncia; Pisano, Giuditta


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  <identifier identifierType="DOI">10.5281/zenodo.3890278</identifier>
  <creators>
    <creator>
      <creatorName>Chowdhury, Nayeem</creatorName>
      <givenName>Nayeem</givenName>
      <familyName>Chowdhury</familyName>
    </creator>
    <creator>
      <creatorName>Pilo, Fabrizio</creatorName>
      <givenName>Fabrizio</givenName>
      <familyName>Pilo</familyName>
    </creator>
    <creator>
      <creatorName>Matteo Troncia</creatorName>
    </creator>
    <creator>
      <creatorName>Pisano, Giuditta</creatorName>
      <givenName>Giuditta</givenName>
      <familyName>Pisano</familyName>
    </creator>
  </creators>
  <titles>
    <title>OPTIMAL LOCATION OF ENERGY STORAGE SYSTEMS WITH ROBUST OPTIMIZATION</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Energy Storage Systems,distribution network, uncertainty</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-11</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3890278</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3890277</relatedIdentifier>
  </relatedIdentifiers>
  <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;The integration of intermittent sources of energy and responsive loads in distribution system make the traditional deterministic optimization-based optimal power flow no longer suitable for finding the optimal control strategy for the power system operation. This paper presents a tool for energy storage planning in the distribution network based on AC OPF algorithm that uses a convex relaxation for the power flow equations to guarantee exact and optimal solutions with high algorithmic performances and exploits robust optimization approach to deal with the uncertainties related to renewables and demand. The proposed methodology is applied for storage planning on a distribution network that is representative of a class of networks.&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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