LAPSE:2023.15645
Published Article

LAPSE:2023.15645
Modeling of the Off-Grid PV-Wind-Battery System Regarding Value of Loss of Load Probability
March 2, 2023
Abstract
The paper presents an optimized off-grid photovoltaic (PV)-wind battery model that considers the value of loss of load probability (LOLP). The optimum combination of all model components: wind turbines, PV panels, batteries and electrical load for the City of Osijek using MATLAB software is defined. The examined data are based on measured load values for the residential home. For values of LOLP in the range from 0.00 to 0.10 in steps of 0.01, optimal size of the presented system has been determined. In order to determine the optimal model, investment costs were taken into account in comparison with various LOLP values.
The paper presents an optimized off-grid photovoltaic (PV)-wind battery model that considers the value of loss of load probability (LOLP). The optimum combination of all model components: wind turbines, PV panels, batteries and electrical load for the City of Osijek using MATLAB software is defined. The examined data are based on measured load values for the residential home. For values of LOLP in the range from 0.00 to 0.10 in steps of 0.01, optimal size of the presented system has been determined. In order to determine the optimal model, investment costs were taken into account in comparison with various LOLP values.
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Suggested Citation
Raff R, Golub V, Knežević G, Topić D. Modeling of the Off-Grid PV-Wind-Battery System Regarding Value of Loss of Load Probability. (2023). LAPSE:2023.15645
Author Affiliations
Raff R: Public Institution County Development Agency of Osijek-Baranja County, 31000 Osijek, Croatia
Golub V: Vodovod Osijek d.o.o., 31000 Osijek, Croatia
Knežević G: Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
Topić D: Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia [ORCID]
Golub V: Vodovod Osijek d.o.o., 31000 Osijek, Croatia
Knežević G: Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
Topić D: Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
795
Year
2022
Publication Date
2022-01-22
ISSN
1996-1073
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Original Submission
Other Meta
PII: en15030795, Publication Type: Journal Article
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LAPSE:2023.15645
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https://doi.org/10.3390/en15030795
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Mar 2, 2023
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