Publication:
A new mathematical programming approach to wind farm layout problem under multiple wake effects

dc.contributor.authorALABAŞ USLU, ÇİĞDEM
dc.contributor.authorsUlku, I.; Alabas-Uslu, C.
dc.date.accessioned2022-03-12T22:38:16Z
dc.date.accessioned2026-01-11T17:19:29Z
dc.date.available2022-03-12T22:38:16Z
dc.date.issued2019
dc.description.abstractWind farm layout optimization is one of the challenging problems in the field of renewable energy. In the present study, a new nonlinear mathematical model for layout of wind turbines under multiple wake effects is proposed considering two objective functions separately: maximization of total power production and minimization of cost per power. To incorporate multiple wake effects into the proposed model, Jensen's wake decay model is employed. It was proven that the proposed model has totally unimodularity property and according to this property, relaxation of binary decision variables related with the wind turbine locations makes the model relatively simple to solve. Computational study reveals that results of total power production and cost of power obtained from the proposed model outperform that of the previous studies in the literature on a set of example cases and therefore, can be used to layout more productive wind farms. (C) 2018 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.renene.2018.09.085
dc.identifier.issn0960-1481
dc.identifier.urihttps://hdl.handle.net/11424/235567
dc.identifier.wosWOS:000460847800103
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofRENEWABLE ENERGY
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectWind farm
dc.subjectLayout optimization
dc.subjectWake effect
dc.subjectNon-linear programming
dc.subjectPARTICLE SWARM OPTIMIZATION
dc.subjectOPTIMAL PLACEMENT
dc.subjectTURBINES
dc.subjectDESIGN
dc.subjectTOPFARM
dc.titleA new mathematical programming approach to wind farm layout problem under multiple wake effects
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage1201
oaire.citation.startPage1190
oaire.citation.titleRENEWABLE ENERGY
oaire.citation.volume136

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