Wind Farm Micrositting Optimization by Stackelberg Game Theory Model

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dc.contributor.authorFarajifijani, Ramin
dc.contributor.authorGhotbi, Ehsan
dc.date.accessioned2019-05-06T15:58:01Z
dc.date.available2019-05-06T15:58:01Z
dc.date.issued2018-10-12
dc.description.abstractThis study proposes the optimal layout of an offshore wind farm (WF) micrositing for a fixed/imported number (N) of wind turbines (WTs) in a 2 km 2 km finite fixed area similar to previous studies with respect to the maximum power outage from the wind and inimum levelized cost of energy (LCOE) and maximum efficiency concerning highly desire from technical and commercial perspective. Thus, by applying an Stackelberg algorithm and game theory to the leaders and followers (objective functions), ensure that the optimal solution for the number of WTs used are placed at most optimum location in the WF to harness maximum power available in the wind with a more efficient and economical layout. Case studies with actual manufacturer data for same WTs with various hub heights and with realistic wind profile data are performed under the scope of research.en_US
dc.identifier.urihttp://hdl.handle.net/10829/23384
dc.language.isoen_USen_US
dc.publisherAlfred Universityen_US
dc.relation.ispartofScholes Libraryen_US
dc.rightshttp://libguides.alfred.edu/AURA/termsofuseen_US
dc.subjectAU Energy Symposiumen_US
dc.subjectEnergyen_US
dc.subjectRenewable energyen_US
dc.subjectWind turbinesen_US
dc.subjectMicrositingen_US
dc.subjectStackelberg Game Theory Modelen_US
dc.titleWind Farm Micrositting Optimization by Stackelberg Game Theory Modelen_US
dc.typePresentation or Speechen_US

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