{"id":194601,"date":"2024-09-06T15:21:12","date_gmt":"2024-09-06T13:21:12","guid":{"rendered":"https:\/\/www.rse-web.it\/pubblicazioni\/advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach\/"},"modified":"2024-09-06T15:22:57","modified_gmt":"2024-09-06T13:22:57","slug":"advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach","status":"publish","type":"pubblicazioni","link":"https:\/\/www.rse-web.it\/en\/publications\/advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach\/","title":{"rendered":"Advanced fault detection for PV plants: an enhanced adimensional approach"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>An advanced fault detection system for photovoltaic systems allows for precise and timely maintenance interventions, which enable increased energy generation and greater reliability of the system. <\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1374,1307],"targets":[],"pubblicazioni_tipologie":[778],"class_list":["post-194601","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-concentrator-photovoltaics","tag-renewable-energy-en","pubblicazioni_tipologie-paper-en"],"acf":{"projects":{"ID":191040,"post_author":"464","post_date":"2024-07-10 15:54:17","post_date_gmt":"2024-07-10 13:54:17","post_content":"","post_title":"High-efficiency photovoltaics","post_excerpt":"This project &egrave; aims to foster the development of highly efficient and reduced-cost photovoltaic (PV) generation systems, both flat-plate and concentrating, that also help to optimize production of energy from plants installed in Italy.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"high-efficiency-photovoltaics","to_ping":"","pinged":"","post_modified":"2024-08-09 14:36:11","post_modified_gmt":"2024-08-09 12:36:11","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/high-efficiency-photovoltaics\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"dont_show_hompage":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"<p>Although there have been numerous efforts in this direction, there is still no common approach that allows a systematic classification of faults independently of the monitored system. In this context, the presented method shows an alternative solution for fault detection based on a dimensionless approach which allows simpler anomaly detection for different types of systems. Plant management and maintenance companies, Asset Managers and entities involved in research on photovoltaic systems are to be considered the main recipients of the proposed approach. However, to be economically competitive, a monitoring and fault finding activity should be conducted with the smallest number of measuring instruments possible and should not require complex customizations that depend on the characteristics of the photovoltaic system. This work reports on fault detection conducted on a dimensionless dataset obtained starting from data imported directly from the SCADA system. The proposed approach allows the working points to be classified into clusters, each representing a different operating or fault condition. Based on appropriately chosen thresholds, the method allows obtaining a rapid classification of the working points. The density of points grouped within each cluster represents the weight to be used to determine the state of the system. Preliminary tests conducted on various photovoltaic strings gave positive results, highlighting the characteristics of the method: delocalized, scalable and affordable.<\/p>\n","scarica_file":[{"download_option":"download","file_name":"Download Memory","download":{"ID":161992,"id":161992,"title":"19001073","filename":"19001073.pdf","filesize":667454,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2021\/10\/19001073.pdf","link":"https:\/\/www.rse-web.it\/en\/pubblicazioni\/advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach\/attachment\/19001073\/","alt":"","author":"93","description":"","caption":"","name":"19001073","status":"inherit","uploaded_to":161991,"date":"2021-10-28 13:26:31","modified":"2021-10-28 13:26:31","menu_order":0,"mime_type":"application\/pdf","type":"application","subtype":"pdf","icon":"https:\/\/www.rse-web.it\/wp-includes\/images\/media\/document.png"}}],"link_estreno":false,"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2019-09-13","autori":"V. Barone \u2018RSE Spa\u2019, S. Guastella \u2018RSE Spa\u2019, G. Maugeri \u2018RSE Spa\u2019, D. Bertani \u2018RSE Spa\u2019 ","destinazione":"EU PVSEC 2019 - 36th European Photovoltaic Solar Energy Conference and Exhibition, Marseille, France, September 9-13, 2019, France ","rif_rse":"19001073"},"satellite_post_url":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Advanced fault detection for PV plants: an enhanced adimensional approach - RSE<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.rse-web.it\/en\/publications\/advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Advanced fault detection for PV plants: an enhanced adimensional approach - RSE\" \/>\n<meta property=\"og:description\" content=\"An advanced fault detection system for photovoltaic systems allows for precise and timely maintenance interventions, which enable increased energy generation and greater reliability of the system.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.rse-web.it\/en\/publications\/advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach\/\" \/>\n<meta property=\"og:site_name\" content=\"RSE\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-06T13:22:57+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.rse-web.it\/en\/publications\/advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach\/\",\"url\":\"https:\/\/www.rse-web.it\/en\/publications\/advanced-fault-detection-for-pv-plants-an-enhanced-adimensional-approach\/\",\"name\":\"Advanced fault detection for PV plants: an enhanced adimensional approach - 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