Photovoltaic Array Fault Diagnosis Using a semi-supervised method based on Generative Adversarial Networks (GANs)

Photovoltaic Array Fault Diagnosis Using a semi-supervised method based on Generative Adversarial Networks (GANs) | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 15 January 2025 V1 Latest version Share on Photovoltaic Array Fault Diagnosis Using a semi-supervised method based on Generative Adversarial Networks (GANs) Authors : Hadi Almasi , Mojtaba Beiraghi 0000-0003-4867-8796 [email protected] , and Reza Ghanizadeh 0000-0003-2093-0267 Authors Info & Affiliations https://doi.org/10.22541/au.173692468.85492890/v1 228 views 134 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In recent years, photovoltaic energy has gained global attention due to the advantages of photovoltaic (PV) systems and the abundance of solar energy. Consequently, the installation capacity of PV systems has risen. Despite these benefits and the notable growth of PV systems, they face challenges such as high initial costs, low power conversion efficiency, reliance on environmental conditions, and vulnerability to faults. Fault detection in PV arrays is critical to minimize energy losses and maximize income for users while also improving electricity efficiency and system lifespan. However, because of the non-linear nature of PV systems, it is challenging for protection devices to detect faults, which can lead to safety risks and fire hazards in solar power plants. In this study, a convolutional neural network (CNN), a type of supervised model, was used for fault diagnosis. Yet, like other supervised models, it has several drawbacks: 1) Acquiring labeled PV data is costly and challenging. 2) Updating the trained model is difficult. 3) Visualizing the model is complex. To overcome these limitations, this study introduces a semi-supervised learning model that uses only a small amount of labeled data and normalizes it for better visualization. Supplementary Material File (main paper.docx) Download 1.85 MB Information & Authors Information Version history V1 Version 1 15 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords fault diagnosis learning (artificial intelligence) photovoltaic power systems Authors Affiliations Hadi Almasi Islamic Azad University Urmia Branch View all articles by this author Mojtaba Beiraghi 0000-0003-4867-8796 [email protected] Islamic Azad University Urmia Branch View all articles by this author Reza Ghanizadeh 0000-0003-2093-0267 Islamic Azad University Urmia Branch View all articles by this author Metrics & Citations Metrics Article Usage 228 views 134 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Hadi Almasi, Mojtaba Beiraghi, Reza Ghanizadeh. Photovoltaic Array Fault Diagnosis Using a semi-supervised method based on Generative Adversarial Networks (GANs). Authorea . 15 January 2025. DOI: https://doi.org/10.22541/au.173692468.85492890/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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