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Risk-constrained bidding strategy for wind power producer in day-ahead and balancing markets

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dc.contributor.authorTahmasebi M.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorAskari M.T.en_US
dc.contributor.authorReyasudin Basir Khan M.en_US
dc.contributor.authorid55945605900en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid36103897600en_US
dc.contributor.authorid57222270109en_US
dc.date.accessioned2023-05-29T06:53:15Z
dc.date.available2023-05-29T06:53:15Z
dc.date.issued2018
dc.descriptionAlgebra; Stochastic models; Stochastic programming; Stochastic systems; Wind power; Algebraic modeling; Balancing market; Bidding strategy; Competitive electricity markets; Day-ahead electricity market; Electricity prices; Optimal bidding strategy; Software environments; Power marketsen_US
dc.description.abstractParticipation of wind power producer in competitive electricity markets face to numerous challenges is caused by wind power and electricity price uncertainties. For overcome to this challenges the risk-constrained optimal bidding strategy for wind power producer in the short term electricity markets is proposed in this paper. The proposed mathematical model has been solved and optimized based on the stochastic programming method in General Algebraic Modeling System (GAMS) software environment. The comparative results of the three cases of various risk penalty factor, have been shown with the increase of the risk penalty factor, the amount of power bidding in day-ahead electricity market and expected profit decreased. Also, positive imbalance and CVaR are increased. Copyright � JES 2018 on-line: journal/esrgroups.org/jesen_US
dc.description.natureFinalen_US
dc.identifier.epage47
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85102135932
dc.identifier.spage34
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85102135932&partnerID=40&md5=4dcfadb9da8c4af77d9b7960c3b411ac
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23932
dc.identifier.volume14
dc.publisherEngineering and Scientific Research Groupsen_US
dc.sourceScopus
dc.sourcetitleJournal of Electrical Systems
dc.titleRisk-constrained bidding strategy for wind power producer in day-ahead and balancing marketsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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