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An improved model and performance analysis for grid-connected photovoltaic system in Oman

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dc.contributor.authorAl-Shahri O.A.en_US
dc.contributor.authorIsmail F.B.en_US
dc.contributor.authorAl-Muhsen N.F.O.en_US
dc.contributor.authorAl-Bazi A.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorid57220832650en_US
dc.contributor.authorid58027086700en_US
dc.contributor.authorid57197748656en_US
dc.contributor.authorid35098298500en_US
dc.contributor.authorid7103014445en_US
dc.date.accessioned2023-05-29T09:35:59Z
dc.date.available2023-05-29T09:35:59Z
dc.date.issued2022
dc.description.abstractThe PV systems' sources are environmentally friendly, but at the same time, they are constantly changing with time. When evaluating solar energy resources, it is necessary to consider the variability and effects of different environmental operation parameters like solar irradiances, ambient temperature, and module temperature. The study introduces a method to simulate an existing photovoltaic system using a mathematical model that permits intelligent strategies to optimise the efficiency and adjust the most effective operational parameters for the solar energy systems. A mathematical analysis for the data framework, including correlation and regression coefficients, was calculated to identify and chart the relationships between the system's most influential parameters and the generated power from the PV system. An improved mathematical model was built with the most influential parameters. The improved model was simple, accurate, and based on the loss ratio by eliminating the unknown parameters. The system's efficiency was analysed using an existing data framework-recorded hourly from 1st January 2017 to December 2018 for a grid-connected photovoltaic system installed in the south of Oman. The results showed that the most influential parameters on the efficiency were the module's solar irradiance and surface temperature. The operating parameters such as ambient temperature, wind speed, and air humidity had a negligible effect on the generated power compared to the cell temperatures and solar radiation. The dissipation factor was used in the new output current and voltage equations to stimulate the output power of the PV model. The improved model was validated in a MATLAB Simulink and showed a more promising output with a lower RMSE of 5 %. � 2022 The Author(s)en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe12237
dc.identifier.doi10.1016/j.heliyon.2022.e12237
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85144492213
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85144492213&doi=10.1016%2fj.heliyon.2022.e12237&partnerID=40&md5=413a863cf9f20faa5f7d0298c394741e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26636
dc.identifier.volume8
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleHeliyon
dc.titleAn improved model and performance analysis for grid-connected photovoltaic system in Omanen_US
dc.typeArticleen_US
dspace.entity.typePublication
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