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The assessment of the contribution of short-term wind power predictions to the efficiency of stand-alone hybrid systems

dc.contributor.authorTascikaraoglu, A.
dc.contributor.authorUzunoglu, M.
dc.contributor.authorVural, B.
dc.date.accessioned2026-06-27T13:15:45Z
dc.date.issued2012
dc.description.abstractDistribution of electricity to the rural areas, particularly in regions which have rough topography causes high costs and losses. Hybrid systems can provide electricity at a relatively economic price at these regions. This paper designs and tests a stand-alone hybrid system combining variable speed wind turbine (WT), fuel cell (FC) and battery. The main objective is to optimize the hydrogen utilization while guaranteeing the load balance implicitly as well as to achieve proper FC operation. To this end, a wind power prediction based controller is proposed in order to take action according to foreseen amount of power deficit or excess in the system. For the purpose of investigating the effects of predictions on the system efficiency, a case study is carried out on a coastal area with a high wind potential in Izmir, Turkey. The results obtained provide insights about the advantages of utilizing wind power predictions in a hybrid system. (c) 2012 Elsevier Ltd. All rights reserved.en
dc.description.sponsorshipYildiz Technical University Scientific Research Projects Coordination Department [2011-04-02-DOP02]
dc.description.urihttps://doi.org/10.1016/j.apenergy.2012.01.017
dc.identifier.doi10.1016/j.apenergy.2012.01.017
dc.identifier.endpage165
dc.identifier.issn0306-2619
dc.identifier.startpage156
dc.identifier.urihttps://hdl.handle.net/20.500.14981/51180
dc.identifier.volume94
dc.identifier.wos000302842800018
dc.language.isoeng
dc.publisherELSEVIER SCI LTD
dc.relation.ispartofAPPLIED ENERGY
dc.subjectWind power prediction
dc.subjectHybrid systems
dc.subjectWind energy
dc.subjectFuel cell
dc.subjectEnergy storage
dc.subjectGENERATION SYSTEM
dc.subjectENERGY MANAGEMENT
dc.subjectBATTERY STORAGE
dc.subjectNEURAL-NETWORKS
dc.subjectSIMULATION
dc.subjectMODEL
dc.subjectSPEED
dc.subjectDESIGN
dc.subjectEnergy & Fuels
dc.subjectEngineering
dc.titleThe assessment of the contribution of short-term wind power predictions to the efficiency of stand-alone hybrid systems
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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