Publication:
Probabilistic evaluation of wind power generation

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dc.citedby1
dc.contributor.authorRazali N.M.M.en_US
dc.contributor.authorMisbah M.en_US
dc.contributor.authorid36440450000en_US
dc.contributor.authorid55812106800en_US
dc.date.accessioned2023-12-29T07:44:16Z
dc.date.available2023-12-29T07:44:16Z
dc.date.issued2013
dc.description.abstractThe power supplied by wind turbine generators (WTG) is widely random following the stochastic nature of weather conditions. For planning and decision making purposes, understanding and evaluation of the behaviour and distribution of WTG's output power are crucial. Monte Carlo simulation enables the realization of artificial futures by generating a huge number of sample paths of outcomes to perform this analysis. The paper presents an algorithm developed for a random wind speed generator governed by the probability density function of Weibull distribution and evaluates the WTG's output by using the power curve of wind turbines. The method may facilitate assessment of suitable turbine site as well as generator selection and sizing. � Published under licence by IOP Publishing Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo12028
dc.identifier.doi10.1088/1755-1315/16/1/012028
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84881116392
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84881116392&doi=10.1088%2f1755-1315%2f16%2f1%2f012028&partnerID=40&md5=7217fa25bc99ad2b8e0a239407e99854
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30064
dc.identifier.volume16
dc.publisherInstitute of Physics Publishingen_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleIOP Conference Series: Earth and Environmental Science
dc.subjectElectric power generation
dc.subjectMonte Carlo methods
dc.subjectProbability density function
dc.subjectSite selection
dc.subjectWind turbines
dc.subjectNumber of samples
dc.subjectOutput power
dc.subjectPower curves
dc.subjectProbabilistic evaluation
dc.subjectRandom winds
dc.subjectStochastic nature
dc.subjectalgorithm
dc.subjectconference proceeding
dc.subjectdecision making
dc.subjectMonte Carlo analysis
dc.subjectpower generation
dc.subjectprobability density function
dc.subjectrenewable resource
dc.subjectWeibull theory
dc.subjectwind power
dc.subjectwind turbine
dc.subjectwind velocity
dc.subjectWeibull distribution
dc.titleProbabilistic evaluation of wind power generationen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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