1 Ocak 2017 Konferans bildirisi Açık Erişim

Cakmak, R.; Altas, I. H.

DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/51133</identifier>
  <creators>
    <creator>
      <creatorName>Cakmak, R.</creatorName>
      <givenName>R.</givenName>
      <familyName>Cakmak</familyName>
      <affiliation>Gumushane Univ, Gumushane, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Altas, I. H.</creatorName>
      <givenName>I. H.</givenName>
      <familyName>Altas</familyName>
      <affiliation>Karadeniz Tech Univ, Trabzon, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Optimal Scheduling Of Time Shiftable Loads In A Task Scheduling Based Demand Response Program By Symbiotic Organisms Search Algorithm</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2017</publicationYear>
  <dates>
    <date dateType="Issued">2017-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/51133</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.51132</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.51133</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Demand side management is one of the key issues in smart electrical grid studies. Power demand of consumers can be managed via demand response(DR) programs. Task scheduling (TS) based demand response is one of the DR schemes. Objective of the TS approach is to schedule activation time of the appropriate time-shiftable loads to reduce power consumption in peak-demand hours. Heuristic optimization methods can be used to provide this objective. Symbiotic Organisms Search (SOS) and Cuckoo Search (CS) algorithms are two of the most recent heuristic methods. In this paper, scheduling of the time-shiftable home appliances executed by SOS and CS algorithms. Time-shiftable home appliances of the consumers and run time tolerances of them aggregated by mini public survey to achieve results which close to reality. Obtained results are indicated the superiority of the SOS algorithm and demonstrated the positive effects of the demand side management on the electrical grid.</description>
  </descriptions>
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