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Backward reduction application for minimizing wind power scenarios in stochastic programming

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dc.citedby89
dc.contributor.authorMuhamad Razali N.M.en_US
dc.contributor.authorHashim A.H.en_US
dc.contributor.authorid36440450000en_US
dc.contributor.authorid24447656300en_US
dc.date.accessioned2023-12-29T07:49:43Z
dc.date.available2023-12-29T07:49:43Z
dc.date.issued2010
dc.description.abstractIn order to make informed decisions in the presence of uncertainties, risk management problems of power utilities may be modelled by multistage stochastic programs. These programs use a set of scenarios (or plausible realizations) and corresponding probabilities to model the multivariate random data process, e.g. electrical load, stream flows to hydro units, generation output of intermittent renewable sources as well as fuel and electricity prices. The number of scenarios needed to accurately represent the uncertainty involved is generally large, thus due to computational complexity and time limitation, scenario reduction techniques are often utilized. The paper proposes a new application for recursive backward scenario reduction to establish possible next-day scenarios for wind power generation at Mersing Johor, Malaysia. The algorithm determines a subset from the initial scenario set and assigns new probabilities to the preserved scenarios. The output is intended to assist generation scheduling of power system employing intermittent type renewable sources. � 2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5559252
dc.identifier.doi10.1109/PEOCO.2010.5559252
dc.identifier.epage434
dc.identifier.scopus2-s2.0-77957985510
dc.identifier.spage430
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77957985510&doi=10.1109%2fPEOCO.2010.5559252&partnerID=40&md5=55dabd57b8c52129fe17bc3ca8704772
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30579
dc.pagecount4
dc.sourceScopus
dc.sourcetitlePEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts
dc.subjectScenario reduction
dc.subjectStochastic programming
dc.subjectWind power
dc.subjectComputational complexity
dc.subjectElectric power generation
dc.subjectOptimization
dc.subjectRisk analysis
dc.subjectRisk management
dc.subjectStochastic programming
dc.subjectStochastic systems
dc.subjectStream flow
dc.subjectWind power
dc.subjectElectrical load
dc.subjectElectricity prices
dc.subjectGeneration scheduling
dc.subjectInformed decision
dc.subjectMalaysia
dc.subjectManagement problems
dc.subjectNew applications
dc.subjectPower systems
dc.subjectPower utility
dc.subjectRandom data
dc.subjectReduction techniques
dc.subjectRenewable sources
dc.subjectScenario reduction
dc.subjectElectric generators
dc.titleBackward reduction application for minimizing wind power scenarios in stochastic programmingen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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