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Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization

This paper aims to assess the impact of different key factors on the optimized design and performance of grid connected photovoltaic (PV) power plants, as such key factors can lead to re-design the PV plant and affect its optimum performance. The impact on the optimized design and performance of the...

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Main Authors:	Zidane, Tekai Eddine Khalil, Adzman, Mohd Rafi, Tajuddin, Mohammad Faridun Naim, Zali, Samila Mat, Durusu, Ali, Mekhilef, Saad, Su, Chun-Lien, Terriche, Yacine, Guerrero, Josep M.
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2021
Subjects:	HE Transportation and Communications QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.um.edu.my/34304/
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spelling	my.um.eprints.343042022-06-13T00:41:15Z http://eprints.um.edu.my/34304/ Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization Zidane, Tekai Eddine Khalil Adzman, Mohd Rafi Tajuddin, Mohammad Faridun Naim Zali, Samila Mat Durusu, Ali Mekhilef, Saad Su, Chun-Lien Terriche, Yacine Guerrero, Josep M. HE Transportation and Communications QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) This paper aims to assess the impact of different key factors on the optimized design and performance of grid connected photovoltaic (PV) power plants, as such key factors can lead to re-design the PV plant and affect its optimum performance. The impact on the optimized design and performance of the PV plant is achieved by considering each factor individually. A comprehensive analysis is conducted on nine factors such as; three objectives are predefined, five recent optimization approaches, three different locations around the world, changes in solar irradiance, ambient temperature, and wind speed levels, variation in the available area, PV module type and inverters size. The performance of the PV plant is evaluated for each factor based on five performance parameters such as; energy yield, sizing ratio, performance ratio, ground cover ratio, and energy losses. The results show that the geographic location, a change in meteorological conditions levels, and an increase or decrease in the available area require the re-design of the PV plant. A change in inverter size and PV module type has a significant impact on the configuration of the PV plant leading to an increase in the cost of energy. The predefined objectives and proposed optimization methods can affect the PV plant design by producing completely different structures. Furthermore, most PV plant performance parameters are significantly changed due to the variation of these factors. The results also show the environmental benefit of the PV plant and the great potential to avoid green-house gas emissions from the atmosphere. Institute of Electrical and Electronics Engineers 2021 Article PeerReviewed Zidane, Tekai Eddine Khalil and Adzman, Mohd Rafi and Tajuddin, Mohammad Faridun Naim and Zali, Samila Mat and Durusu, Ali and Mekhilef, Saad and Su, Chun-Lien and Terriche, Yacine and Guerrero, Josep M. (2021) Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization. IEEE Access, 9. pp. 108754-108771. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3102159 <https://doi.org/10.1109/ACCESS.2021.3102159>. 10.1109/ACCESS.2021.3102159
institution	Universiti Malaya
building	UM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaya
content_source	UM Research Repository
url_provider	http://eprints.um.edu.my/
topic	HE Transportation and Communications QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General)
spellingShingle	HE Transportation and Communications QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) Zidane, Tekai Eddine Khalil Adzman, Mohd Rafi Tajuddin, Mohammad Faridun Naim Zali, Samila Mat Durusu, Ali Mekhilef, Saad Su, Chun-Lien Terriche, Yacine Guerrero, Josep M. Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
description	This paper aims to assess the impact of different key factors on the optimized design and performance of grid connected photovoltaic (PV) power plants, as such key factors can lead to re-design the PV plant and affect its optimum performance. The impact on the optimized design and performance of the PV plant is achieved by considering each factor individually. A comprehensive analysis is conducted on nine factors such as; three objectives are predefined, five recent optimization approaches, three different locations around the world, changes in solar irradiance, ambient temperature, and wind speed levels, variation in the available area, PV module type and inverters size. The performance of the PV plant is evaluated for each factor based on five performance parameters such as; energy yield, sizing ratio, performance ratio, ground cover ratio, and energy losses. The results show that the geographic location, a change in meteorological conditions levels, and an increase or decrease in the available area require the re-design of the PV plant. A change in inverter size and PV module type has a significant impact on the configuration of the PV plant leading to an increase in the cost of energy. The predefined objectives and proposed optimization methods can affect the PV plant design by producing completely different structures. Furthermore, most PV plant performance parameters are significantly changed due to the variation of these factors. The results also show the environmental benefit of the PV plant and the great potential to avoid green-house gas emissions from the atmosphere.
format	Article
author	Zidane, Tekai Eddine Khalil Adzman, Mohd Rafi Tajuddin, Mohammad Faridun Naim Zali, Samila Mat Durusu, Ali Mekhilef, Saad Su, Chun-Lien Terriche, Yacine Guerrero, Josep M.
author_facet	Zidane, Tekai Eddine Khalil Adzman, Mohd Rafi Tajuddin, Mohammad Faridun Naim Zali, Samila Mat Durusu, Ali Mekhilef, Saad Su, Chun-Lien Terriche, Yacine Guerrero, Josep M.
author_sort	Zidane, Tekai Eddine Khalil
title	Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
title_short	Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
title_full	Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
title_fullStr	Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
title_full_unstemmed	Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
title_sort	identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
publisher	Institute of Electrical and Electronics Engineers
publishDate	2021
url	http://eprints.um.edu.my/34304/
_version_	1735570300931670016
score	13.211869

Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization

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