Estimation of solar panel efficiency in the presence of curtailment

While solar power typically exhibits a linear relationship with solar irradiance, solar curtailment (intentional power reduction to match load) can disrupt this relationship. Consequently, solar panel efficiency estimation based on curtailed solar power may be inaccurate. This paper presents four methods for detecting solar curtailment samples: net load thresholding, clustering and thresholding, quantile regression, and piecewise efficiency estimation. The proposed methods include two specifications: one requires the time series of net load, while the other requires solar power and irradiance data. The effectiveness of the proposed methods is shown on two datasets with different load characteristics. The findings show that the suggested methods are effective in various aspects, depending on the application.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/ecti-con64996.2025.11100727
Citations
1
Primary Topic
Solar Radiation and Photovoltaics
Type
article
Field-Weighted Citation Impact
2.48
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article

Estimation of solar panel efficiency in the presence of curtailment

Jitkomut Songsiri, Worachit Amnuaypongsa, Natanon Tongamrak, Yotsapat Suparanonrat
1 citations
Solar Radiation and Photovoltaics
2.48
article

Estimation of solar panel efficiency in the presence of curtailment

Jitkomut Songsiri, Worachit Amnuaypongsa, Natanon Tongamrak, Yotsapat Suparanonrat
article en
1 citations

Abstract

While solar power typically exhibits a linear relationship with solar irradiance, solar curtailment (intentional power reduction to match load) can disrupt this relationship. Consequently, solar panel efficiency estimation based on curtailed solar power may be inaccurate. This paper presents four methods for detecting solar curtailment samples: net load thresholding, clustering and thresholding, quantile regression, and piecewise efficiency estimation. The proposed methods include two specifications: one requires the time series of net load, while the other requires solar power and irradiance data. The effectiveness of the proposed methods is shown on two datasets with different load characteristics. The findings show that the suggested methods are effective in various aspects, depending on the application.

Chulalongkorn University (TH)
Affordable and clean energy
Openalex Percentile: Top 9%
Solar Radiation and Photovoltaics
2.48
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