Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection

Local solarimetric stations (LSS) are essential for collecting data to evaluate photovoltaic (PV) plant performance and improve simulation accuracy. When unavailable, commercial solar databases (CSD), typically derived from satellite-based typical years, are used. This study compared the impact of...

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Main Authors: João Lucas de S. Silva, João Antonio F. G. da Silva, Eslam Mahmoudi, João Frederico S. de Paula, Tárcio André dos S. Barros
Format: Article
Language:English
Published: Associação Brasileira de Eletrônica de Potência 2025-01-01
Series:Eletrônica de Potência
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Online Access:https://journal.sobraep.org.br/index.php/rep/article/view/990
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author João Lucas de S. Silva
João Antonio F. G. da Silva
Eslam Mahmoudi
João Frederico S. de Paula
Tárcio André dos S. Barros
author_facet João Lucas de S. Silva
João Antonio F. G. da Silva
Eslam Mahmoudi
João Frederico S. de Paula
Tárcio André dos S. Barros
author_sort João Lucas de S. Silva
collection DOAJ
description Local solarimetric stations (LSS) are essential for collecting data to evaluate photovoltaic (PV) plant performance and improve simulation accuracy. When unavailable, commercial solar databases (CSD), typically derived from satellite-based typical years, are used. This study compared the impact of LSS and CSD data on PV simulations and explored the use of LSS data for anomaly detection. Two LSS were analyzed: one at a small-scale PV system (minigeneration in Brazil) and another at a large-scale PV plant. The minigeneration station measured irradiance components to calculate Plane of Array (POA) irradiance, while the large-scale station directly measured POA. For the minigeneration system, simulations using LSS data showed a lower discrepancy (0.21%) compared to CSD (3.13%). For the large-scale plant, a -5.99% discrepancy using LSS revealed anomalies in energy generation. MAE and RMSE improved significantly with LSS for the large-scale system, with MAE decreasing from 660.25 MWh (CSD) to 348.08 MWh. Additionally, an unsupervised anomaly detection flagged 2.88% and 4.47% of data for two inverters, showcasing LSS potential for predictive models. These findings suggest that while LSS data are valuable for PV plant performance analysis, their effectiveness may depend on spectral range, averaging intervals, and irradiance transposition in simulations.
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institution Kabale University
issn 1414-8862
1984-557X
language English
publishDate 2025-01-01
publisher Associação Brasileira de Eletrônica de Potência
record_format Article
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spelling doaj-art-a1182c83328e42969517f2ce347aecad2025-01-16T18:56:08ZengAssociação Brasileira de Eletrônica de PotênciaEletrônica de Potência1414-88621984-557X2025-01-013010.18618/REP.e202506Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly DetectionJoão Lucas de S. Silva0https://orcid.org/0000-0003-3206-2241João Antonio F. G. da Silva1https://orcid.org/0000-0002-7488-3614Eslam Mahmoudi2https://orcid.org/0000-0002-7531-371XJoão Frederico S. de Paula3https://orcid.org/0009-0004-0150-5366Tárcio André dos S. Barros4Universidade Estadual de Campinas (UNICAMP) Universidade Estadual de Campinas (UNICAMP) Universidade Estadual de Campinas (UNICAMP)Universidade Estadual de Campinas (UNICAMP) Universidade Estadual de Campinas (UNICAMP) Local solarimetric stations (LSS) are essential for collecting data to evaluate photovoltaic (PV) plant performance and improve simulation accuracy. When unavailable, commercial solar databases (CSD), typically derived from satellite-based typical years, are used. This study compared the impact of LSS and CSD data on PV simulations and explored the use of LSS data for anomaly detection. Two LSS were analyzed: one at a small-scale PV system (minigeneration in Brazil) and another at a large-scale PV plant. The minigeneration station measured irradiance components to calculate Plane of Array (POA) irradiance, while the large-scale station directly measured POA. For the minigeneration system, simulations using LSS data showed a lower discrepancy (0.21%) compared to CSD (3.13%). For the large-scale plant, a -5.99% discrepancy using LSS revealed anomalies in energy generation. MAE and RMSE improved significantly with LSS for the large-scale system, with MAE decreasing from 660.25 MWh (CSD) to 348.08 MWh. Additionally, an unsupervised anomaly detection flagged 2.88% and 4.47% of data for two inverters, showcasing LSS potential for predictive models. These findings suggest that while LSS data are valuable for PV plant performance analysis, their effectiveness may depend on spectral range, averaging intervals, and irradiance transposition in simulations. https://journal.sobraep.org.br/index.php/rep/article/view/990Photovoltaic PlantSolarimetric StationsPOA irradianceAnomaly Detection
spellingShingle João Lucas de S. Silva
João Antonio F. G. da Silva
Eslam Mahmoudi
João Frederico S. de Paula
Tárcio André dos S. Barros
Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection
Eletrônica de Potência
Photovoltaic Plant
Solarimetric Stations
POA irradiance
Anomaly Detection
title Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection
title_full Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection
title_fullStr Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection
title_full_unstemmed Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection
title_short Case Study on Photovoltaic System: Impact of Solarimetric Stations on Simulations and Anomaly Detection
title_sort case study on photovoltaic system impact of solarimetric stations on simulations and anomaly detection
topic Photovoltaic Plant
Solarimetric Stations
POA irradiance
Anomaly Detection
url https://journal.sobraep.org.br/index.php/rep/article/view/990
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