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

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

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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.

Item Type: Article
Funders: Fundamental Research Grant Scheme (FRGS) through the Ministry of Higher Education Malaysia [FRGS/1/2019/TK07/UNIMAP/03/2], Ministry of Science and Technology, Taiwan [MOST 110-2221-E-992 -044 -MY3]
Uncontrolled Keywords: Power generation; Inverters; Optimization; Economics; Topology; Photovoltaic systems; Electrical engineering; Levelized cost of energy; Optimum configuration; Design optimization; PV grid-connected; Large-scale PV power plants; Crucial parameters
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 13 Jun 2022 00:41
Last Modified: 13 Jun 2022 00:41

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