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Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data

Inverter Sizing Ratio (ISR) is the ratio of the installed DC capacity of a photovoltaic (PV) power plant to the AC output power rating of an inverter. It is important to choose an optimal ISR to design an economical design of a utility-scale PV power plant. The ground-based measurement solar irradia...

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Main Author:	Tan, Hui Li
Format:	Final Year Project / Dissertation / Thesis
Published:	2022
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utar.edu.my/4956/1/3E_1803659_FYP_report_%2D_HUI_LI_TAN.pdf http://eprints.utar.edu.my/4956/
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spelling	my-utar-eprints.49562022-12-23T09:05:40Z Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data Tan, Hui Li TK Electrical engineering. Electronics Nuclear engineering Inverter Sizing Ratio (ISR) is the ratio of the installed DC capacity of a photovoltaic (PV) power plant to the AC output power rating of an inverter. It is important to choose an optimal ISR to design an economical design of a utility-scale PV power plant. The ground-based measurement solar irradiance datasets can have higher temporal resolution, which can be made up to 1-min intervals, whereas the satellite-derived datasets are only available for a lower temporal resolution such as 15 minutes to 1-hour intervals. Therefore, an optimal ISR computed by satellite-derived irradiance datasets might be less reliable as compared to the optimal ISR computed by ground-based datasets. In executing the first objective of this project, ISR of a 10MW PV plant was computer-simulated, and the optimal ISR value was chosen based on the lowest Levelized Cost of Energy (LCOE) for a project lifespan. Both groundbased measurement and satellite-derived irradiance datasets were used to simulate the optimal ISR. The optimal ISR values were compared and to the relationship was investigate the relationship between them. It is found that different types of solar irradiance sensors can cause different solar irradiance distribution profile and thus impact on the optimal ISR value. The result shows that the irradiance sensor with low accuracy will contribute to the overestimation of optimal ISR. The second objective is to infer the optimal ISR to the other sites using satellite-derived datasets. The inference was done by using an Artificial Neural Network (ANN) model since the relationship between optimal ISR simulated by ground-based and satellite-derived datasets is complicated to be derived. The percentage of difference and errors between optimal ISR simulated by groundbased and satellite-derived datasets is reduced after the inferencing of optimal ISR using the ANN model developed. The percentage of difference is reduced to 5.8%, Mean Squared Error is 0.0128 and Root Mean Squared Error is 0.1132. 2022 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4956/1/3E_1803659_FYP_report_%2D_HUI_LI_TAN.pdf Tan, Hui Li (2022) Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data. Final Year Project, UTAR. http://eprints.utar.edu.my/4956/
institution	Universiti Tunku Abdul Rahman
building	UTAR Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tunku Abdul Rahman
content_source	UTAR Institutional Repository
url_provider	http://eprints.utar.edu.my
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Tan, Hui Li Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data
description	Inverter Sizing Ratio (ISR) is the ratio of the installed DC capacity of a photovoltaic (PV) power plant to the AC output power rating of an inverter. It is important to choose an optimal ISR to design an economical design of a utility-scale PV power plant. The ground-based measurement solar irradiance datasets can have higher temporal resolution, which can be made up to 1-min intervals, whereas the satellite-derived datasets are only available for a lower temporal resolution such as 15 minutes to 1-hour intervals. Therefore, an optimal ISR computed by satellite-derived irradiance datasets might be less reliable as compared to the optimal ISR computed by ground-based datasets. In executing the first objective of this project, ISR of a 10MW PV plant was computer-simulated, and the optimal ISR value was chosen based on the lowest Levelized Cost of Energy (LCOE) for a project lifespan. Both groundbased measurement and satellite-derived irradiance datasets were used to simulate the optimal ISR. The optimal ISR values were compared and to the relationship was investigate the relationship between them. It is found that different types of solar irradiance sensors can cause different solar irradiance distribution profile and thus impact on the optimal ISR value. The result shows that the irradiance sensor with low accuracy will contribute to the overestimation of optimal ISR. The second objective is to infer the optimal ISR to the other sites using satellite-derived datasets. The inference was done by using an Artificial Neural Network (ANN) model since the relationship between optimal ISR simulated by ground-based and satellite-derived datasets is complicated to be derived. The percentage of difference and errors between optimal ISR simulated by groundbased and satellite-derived datasets is reduced after the inferencing of optimal ISR using the ANN model developed. The percentage of difference is reduced to 5.8%, Mean Squared Error is 0.0128 and Root Mean Squared Error is 0.1132.
format	Final Year Project / Dissertation / Thesis
author	Tan, Hui Li
author_facet	Tan, Hui Li
author_sort	Tan, Hui Li
title	Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data
title_short	Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data
title_full	Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data
title_fullStr	Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data
title_full_unstemmed	Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data
title_sort	inference method for inverter sizing ratio for pv plant using satellite-derived solar irradiance data
publishDate	2022
url	http://eprints.utar.edu.my/4956/1/3E_1803659_FYP_report_%2D_HUI_LI_TAN.pdf http://eprints.utar.edu.my/4956/
_version_	1753792997532631040
score	13.211869

Inference method for inverter sizing ratio for PV plant using satellite-derived solar irradiance data

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