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Probabilistic analysis of solar photovoltaic output based on historical data

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dc.citedby5
dc.contributor.authorZulkifli N.A.en_US
dc.contributor.authorRazali N.M.M.en_US
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorRamasamy A.K.en_US
dc.contributor.authorid56158296500en_US
dc.contributor.authorid36440450000en_US
dc.contributor.authorid26423183000en_US
dc.contributor.authorid16023154400en_US
dc.date.accessioned2023-05-16T02:47:48Z
dc.date.available2023-05-16T02:47:48Z
dc.date.issued2014
dc.description.abstractSolar photovoltaic (PV) is one of the favorable renewable energy sources since it is considered environmentally friendly. Yet it is still at the infancy stage due to the high cost of PV cells. Furthermore, the PV output is dependent on the solar radiation intermittency and the location of installation. This paper presents a probabilistic analysis of a hypothetical solar photovoltaic system in Peninsular Malaysia. From the recorded meteorological data, an analysis of the probabilistic distribution function of the hourly solar radiation is carried out. A comparison has been made between two different locations in order to analyse their characteristics by using meteorological data of KLIA Sepang and Kuala Terengganu Airport. This paper adopts a method considering a multi-state model instead of two-state model which is used for modeling conventional generator to cater for the intermittency of solar radiation. A linear rounding method is recommended for simplification of the multi-state model for effective computation. The results show that based on irradiance data in Peninsular Malaysia, development of microgrid containing solar photovoltaic power system has a good potential for further development. © 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6814413
dc.identifier.doi10.1109/PEOCO.2014.6814413
dc.identifier.epage137
dc.identifier.scopus2-s2.0-84901342812
dc.identifier.spage133
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84901342812&doi=10.1109%2fPEOCO.2014.6814413&partnerID=40&md5=3ae71837a22ca816f1c2be0729b95302
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22145
dc.publisherIEEE Computer Societyen_US
dc.sourceScopus
dc.sourcetitleProceedings of the 2014 IEEE 8th International Power Engineering and Optimization Conference, PEOCO 2014
dc.titleProbabilistic analysis of solar photovoltaic output based on historical dataen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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