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Cited 7 time in webofscience Cited 13 time in scopus
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Improved Formulation for the Optimization of Wind Turbine Placement in a Wind Farm

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dc.contributor.authorGeem, Zong Woo-
dc.contributor.authorHong, Junhee-
dc.date.available2020-02-29T04:43:09Z-
dc.date.created2020-02-06-
dc.date.issued2013-
dc.identifier.issn1024-123X-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/15896-
dc.description.abstractAs an alternative to fossil fuels, wind can be considered because it is a renewable and greenhouse gas-free natural resource. When wind power is generated by wind turbines in a wind farm, the optimal placement of turbines is critical because different layouts produce different efficiencies. The objective of the wind turbine placement problem is to maximize the generated power while minimizing the cost in installing the turbines. This study proposes an efficient optimization formulation for the optimal layout of wind turbine placements under the resources (e. g., number of turbines) or budget limit by introducing corresponding constraints. The proposed formulation gave users more conveniences in considering resources and budget bounds. After performing the optimization, results were compared using two different methods (branch and bound method and genetic algorithm) and two different objective functions.-
dc.language영어-
dc.language.isoen-
dc.publisherHINDAWI PUBLISHING CORPORATION-
dc.relation.isPartOfMATHEMATICAL PROBLEMS IN ENGINEERING-
dc.subjectGENETIC ALGORITHMS-
dc.titleImproved Formulation for the Optimization of Wind Turbine Placement in a Wind Farm-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000321756300001-
dc.identifier.doi10.1155/2013/481364-
dc.identifier.bibliographicCitationMATHEMATICAL PROBLEMS IN ENGINEERING-
dc.identifier.scopusid2-s2.0-84880175833-
dc.citation.titleMATHEMATICAL PROBLEMS IN ENGINEERING-
dc.contributor.affiliatedAuthorGeem, Zong Woo-
dc.contributor.affiliatedAuthorHong, Junhee-
dc.type.docTypeArticle-
dc.subject.keywordPlusGENETIC ALGORITHMS-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryMathematics, Interdisciplinary Applications-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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