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

The 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 tem...

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Detalles Bibliográficos
Autores principales: Al-Shahri, Omar A., Ismail, Firas B., Al-Muhsen, Nizar F.O., Al-Bazi, Ammar, Hannan, M.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800327/
https://www.ncbi.nlm.nih.gov/pubmed/36590488
http://dx.doi.org/10.1016/j.heliyon.2022.e12237
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author Al-Shahri, Omar A.
Ismail, Firas B.
Al-Muhsen, Nizar F.O.
Al-Bazi, Ammar
Hannan, M.A.
author_facet Al-Shahri, Omar A.
Ismail, Firas B.
Al-Muhsen, Nizar F.O.
Al-Bazi, Ammar
Hannan, M.A.
author_sort Al-Shahri, Omar A.
collection PubMed
description The 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 1(st) 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 %.
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spelling pubmed-98003272022-12-31 An improved model and performance analysis for grid-connected photovoltaic system in Oman Al-Shahri, Omar A. Ismail, Firas B. Al-Muhsen, Nizar F.O. Al-Bazi, Ammar Hannan, M.A. Heliyon Research Article The 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 1(st) 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 %. Elsevier 2022-12-12 /pmc/articles/PMC9800327/ /pubmed/36590488 http://dx.doi.org/10.1016/j.heliyon.2022.e12237 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Al-Shahri, Omar A.
Ismail, Firas B.
Al-Muhsen, Nizar F.O.
Al-Bazi, Ammar
Hannan, M.A.
An improved model and performance analysis for grid-connected photovoltaic system in Oman
title An improved model and performance analysis for grid-connected photovoltaic system in Oman
title_full An improved model and performance analysis for grid-connected photovoltaic system in Oman
title_fullStr An improved model and performance analysis for grid-connected photovoltaic system in Oman
title_full_unstemmed An improved model and performance analysis for grid-connected photovoltaic system in Oman
title_short An improved model and performance analysis for grid-connected photovoltaic system in Oman
title_sort improved model and performance analysis for grid-connected photovoltaic system in oman
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800327/
https://www.ncbi.nlm.nih.gov/pubmed/36590488
http://dx.doi.org/10.1016/j.heliyon.2022.e12237
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