Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study
Solar photovoltaic (PV) systems are increasingly recognized as crucial sustainable energy sources with diverse applications. Their implementation leverages rapid advancements in material engineering, communication systems, and computational intelligence tools. This paper focuses on selected mathemat...
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10744544/ |
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| author | Ales Prochazka Jan Svihlik Hana Charvatova Vladimir MARiK |
| author_facet | Ales Prochazka Jan Svihlik Hana Charvatova Vladimir MARiK |
| author_sort | Ales Prochazka |
| collection | DOAJ |
| description | Solar photovoltaic (PV) systems are increasingly recognized as crucial sustainable energy sources with diverse applications. Their implementation leverages rapid advancements in material engineering, communication systems, and computational intelligence tools. This paper focuses on selected mathematical methods for analyzing time series of power generated by PV systems, including numerical methods and algorithms for multichannel signal processing, digital filtering, and signal feature extraction. These methods monitor the characteristics of individual PV panels and identify their feature clusters. Specifically, it examines systems with east/west oriented photovoltaic panels, employing statistical methods and computational tools to analyze power signals, assess time and positioning data, evaluate symmetry coefficients, and apply machine learning tools to detect potential panel failures. Additionally, a general graphical user interface for data analysis is proposed. A detailed case study is presented, analyzing the distribution of selected features over time segments of a PV system comprising seven east-oriented and seven west-oriented panels, with data recorded over a selected set of days at a sampling rate of 15 minutes. The results reveal distinct and well-separated feature clusters for healthy PV panels. General conclusions underscore the effectiveness of signal processing tools in the statistical analysis of PV systems and the potential of feature clustering and symmetry estimation for evaluating disorders of system behaviour using communication technologies, data storage, and remote system monitoring. |
| format | Article |
| id | doaj-art-d21b8e0637a541908e077dd47f7f89f6 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d21b8e0637a541908e077dd47f7f89f62024-11-19T00:03:01ZengIEEEIEEE Access2169-35362024-01-011216504216504910.1109/ACCESS.2024.349201710744544Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case StudyAles Prochazka0https://orcid.org/0000-0002-0270-1738Jan Svihlik1https://orcid.org/0000-0002-1593-7424Hana Charvatova2https://orcid.org/0000-0001-7363-976XVladimir MARiK3https://orcid.org/0000-0001-9403-6765Department of Mathematics, Informatics and Cybernetics, University of Chemistry and Technology in Prague, Prague, Czech RepublicDepartment of Mathematics, Informatics and Cybernetics, University of Chemistry and Technology in Prague, Prague, Czech RepublicFaculty of Applied Informatics, Tomas Bata University, Prague, Czech RepublicCzech Institute of Informatics, Robotics and Cybernetics, Prague, Czech RepublicSolar photovoltaic (PV) systems are increasingly recognized as crucial sustainable energy sources with diverse applications. Their implementation leverages rapid advancements in material engineering, communication systems, and computational intelligence tools. This paper focuses on selected mathematical methods for analyzing time series of power generated by PV systems, including numerical methods and algorithms for multichannel signal processing, digital filtering, and signal feature extraction. These methods monitor the characteristics of individual PV panels and identify their feature clusters. Specifically, it examines systems with east/west oriented photovoltaic panels, employing statistical methods and computational tools to analyze power signals, assess time and positioning data, evaluate symmetry coefficients, and apply machine learning tools to detect potential panel failures. Additionally, a general graphical user interface for data analysis is proposed. A detailed case study is presented, analyzing the distribution of selected features over time segments of a PV system comprising seven east-oriented and seven west-oriented panels, with data recorded over a selected set of days at a sampling rate of 15 minutes. The results reveal distinct and well-separated feature clusters for healthy PV panels. General conclusions underscore the effectiveness of signal processing tools in the statistical analysis of PV systems and the potential of feature clustering and symmetry estimation for evaluating disorders of system behaviour using communication technologies, data storage, and remote system monitoring.https://ieeexplore.ieee.org/document/10744544/Photovoltaic systemsrenewable energycomputational intelligencemultichannel signal processingsignal features evaluationfault detection |
| spellingShingle | Ales Prochazka Jan Svihlik Hana Charvatova Vladimir MARiK Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study IEEE Access Photovoltaic systems renewable energy computational intelligence multichannel signal processing signal features evaluation fault detection |
| title | Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study |
| title_full | Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study |
| title_fullStr | Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study |
| title_full_unstemmed | Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study |
| title_short | Advanced Signal Processing Techniques for Monitoring East/West Oriented Solar Photovoltaic Systems: A Case Study |
| title_sort | advanced signal processing techniques for monitoring east west oriented solar photovoltaic systems a case study |
| topic | Photovoltaic systems renewable energy computational intelligence multichannel signal processing signal features evaluation fault detection |
| url | https://ieeexplore.ieee.org/document/10744544/ |
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