LAPSE:2023.8724
Published Article
LAPSE:2023.8724
Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm
February 24, 2023
Irradiance variability is one of the main challenges for using photovoltaic energy. This variability affects the operation of maximum power point trackers (MPPT) causing energy losses. The logic of the Perturb-and-Observe MPPT algorithm is particularly sensitive to quick irradiance changes. We quantified the existing relation between irradiance variations and efficiency loss of the logic of the Perturb-and-Observe MPPT algorithm, along with the sensitivity of the MPPT to its control parameters. If the algorithm parameters are not tuned properly, its efficiency will drop to nearly 2%. Irradiance variability causes a systematic energy loss of the algorithm that can only be quantified by ignoring the hardware components. With this, we aim to improve the energy yield estimation by providing an additional efficiency loss to be considered in the calculations.
Keywords
Energy Efficiency, maximum power point tracking (MPPT), perturb-and-observe (P&O), solar power generation
Suggested Citation
Martinez Lopez VA, Žindžiūtė U, Ziar H, Zeman M, Isabella O. Study on the Effect of Irradiance Variability on the Efficiency of the Perturb-and-Observe Maximum Power Point Tracking Algorithm. (2023). LAPSE:2023.8724
Author Affiliations
Martinez Lopez VA: Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands [ORCID]
Žindžiūtė U: Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands [ORCID]
Ziar H: Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands [ORCID]
Zeman M: Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands [ORCID]
Isabella O: Photovoltaic Materials and Devices, Delft University of Technology, 2628 CD Delft, The Netherlands [ORCID]
Journal Name
Energies
Volume
15
Issue
20
First Page
7562
Year
2022
Publication Date
2022-10-13
Published Version
ISSN
1996-1073
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Original Submission
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PII: en15207562, Publication Type: Journal Article
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LAPSE:2023.8724
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doi:10.3390/en15207562
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Feb 24, 2023
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Feb 24, 2023
 
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