Analysis of solar panel’s lumped equivalent circuit parameters using LASSO

Martin Garaj; Henry Shu Hung Chung; Alan Wai-Lun Lo; Huai Wang

doi:10.1109/ECCE.2019.8912913

Analysis of solar panel’s lumped equivalent circuit parameters using LASSO

Martin Garaj, Henry Shu Hung Chung, Alan Wai-Lun Lo, Huai Wang

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

2 Citations (Scopus)

Abstract

The power output of a solar panel depends on the level of degradation and external factors, such as temperature and solar irradiation. The changes in the power output caused by temperature and irradiation fluctuations coincide with the changes due to degradation. Therefore, a common way of degradation determination requires the knowledge of external factors. This work investigates a modeling of the panel power output at the reference state without the knowledge of the external factors. Firstly, a sparse regression modeling is used to identify relevant lumped equivalent circuit parameters, which capture the reference state of the solar panel. The p-n junction capacitance is found to be an important indicator of external factors tied to the panel's state of health. Secondly, a set of regression models for modelling the solar panel reference state are tested to distinguish a permanent 5% drop in power output from a regular temperature and irradiation fluctuations, without the information of the temperature and irradiation.

Original language	English
Title of host publication	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
Number of pages	6
Publisher	IEEE
Publication date	Sept 2019
Pages	3427-3432
Article number	8912913
ISBN (Electronic)	9781728103952
DOIs	https://doi.org/10.1109/ECCE.2019.8912913
Publication status	Published - Sept 2019
Event	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States Duration: 29 Sept 2019 → 3 Oct 2019

Conference

Conference	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/Territory	United States
City	Baltimore
Period	29/09/2019 → 03/10/2019
Sponsor	IEEE Industry Application Society (IAS), IEEE Power Electronics Society (PELS)

Series	IEEE Energy Conversion Congress and Exposition
ISSN	2329-3721

Bibliographical note

Funding Information:
The work was supported by a grant from the Innovation Fund Denmark through the project APETT with no.: 6154-00010B.

Publisher Copyright:
© 2019 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Diagnostics
Photovoltaic panel
Regression

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10.1109/ECCE.2019.8912913

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Cite this

@inproceedings{ca9031b1ef6f47e29d09f42613b3cd71,

title = "Analysis of solar panel{\textquoteright}s lumped equivalent circuit parameters using LASSO",

abstract = "The power output of a solar panel depends on the level of degradation and external factors, such as temperature and solar irradiation. The changes in the power output caused by temperature and irradiation fluctuations coincide with the changes due to degradation. Therefore, a common way of degradation determination requires the knowledge of external factors. This work investigates a modeling of the panel power output at the reference state without the knowledge of the external factors. Firstly, a sparse regression modeling is used to identify relevant lumped equivalent circuit parameters, which capture the reference state of the solar panel. The p-n junction capacitance is found to be an important indicator of external factors tied to the panel's state of health. Secondly, a set of regression models for modelling the solar panel reference state are tested to distinguish a permanent 5% drop in power output from a regular temperature and irradiation fluctuations, without the information of the temperature and irradiation.",

keywords = "Diagnostics, Photovoltaic panel, Regression",

author = "Martin Garaj and Chung, {Henry Shu Hung} and {Wai-Lun Lo}, Alan and Huai Wang",

note = "Funding Information: The work was supported by a grant from the Innovation Fund Denmark through the project APETT with no.: 6154-00010B. Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 ; Conference date: 29-09-2019 Through 03-10-2019",

year = "2019",

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doi = "10.1109/ECCE.2019.8912913",

language = "English",

series = "IEEE Energy Conversion Congress and Exposition",

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booktitle = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",

publisher = "IEEE",

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}

Garaj, M, Chung, HSH, Wai-Lun Lo, A & Wang, H 2019, Analysis of solar panel’s lumped equivalent circuit parameters using LASSO. in 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019., 8912913, IEEE, IEEE Energy Conversion Congress and Exposition, pp. 3427-3432, 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019, Baltimore, United States, 29/09/2019. https://doi.org/10.1109/ECCE.2019.8912913

Analysis of solar panel’s lumped equivalent circuit parameters using LASSO. / Garaj, Martin; Chung, Henry Shu Hung; Wai-Lun Lo, Alan et al.
2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019. IEEE, 2019. p. 3427-3432 8912913 (IEEE Energy Conversion Congress and Exposition).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Garaj, Martin

AU - Chung, Henry Shu Hung

AU - Wai-Lun Lo, Alan

AU - Wang, Huai

N1 - Funding Information: The work was supported by a grant from the Innovation Fund Denmark through the project APETT with no.: 6154-00010B. Publisher Copyright: © 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2019/9

Y1 - 2019/9

N2 - The power output of a solar panel depends on the level of degradation and external factors, such as temperature and solar irradiation. The changes in the power output caused by temperature and irradiation fluctuations coincide with the changes due to degradation. Therefore, a common way of degradation determination requires the knowledge of external factors. This work investigates a modeling of the panel power output at the reference state without the knowledge of the external factors. Firstly, a sparse regression modeling is used to identify relevant lumped equivalent circuit parameters, which capture the reference state of the solar panel. The p-n junction capacitance is found to be an important indicator of external factors tied to the panel's state of health. Secondly, a set of regression models for modelling the solar panel reference state are tested to distinguish a permanent 5% drop in power output from a regular temperature and irradiation fluctuations, without the information of the temperature and irradiation.

AB - The power output of a solar panel depends on the level of degradation and external factors, such as temperature and solar irradiation. The changes in the power output caused by temperature and irradiation fluctuations coincide with the changes due to degradation. Therefore, a common way of degradation determination requires the knowledge of external factors. This work investigates a modeling of the panel power output at the reference state without the knowledge of the external factors. Firstly, a sparse regression modeling is used to identify relevant lumped equivalent circuit parameters, which capture the reference state of the solar panel. The p-n junction capacitance is found to be an important indicator of external factors tied to the panel's state of health. Secondly, a set of regression models for modelling the solar panel reference state are tested to distinguish a permanent 5% drop in power output from a regular temperature and irradiation fluctuations, without the information of the temperature and irradiation.

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KW - Photovoltaic panel

KW - Regression

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ER -

Analysis of solar panel’s lumped equivalent circuit parameters using LASSO

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Keywords

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