Recently updated on August 31st, 2024 at 12:43 am<\/p>","protected":false},"excerpt":{"rendered":"
This article presents QuEEN PyService, a software tool that has led to the automation of the extraction of voltage waveforms associated with voltage dips from the QuEEN distribution network monitoring system database, for advanced Power Quality analysis. <\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1407],"targets":[],"pubblicazioni_tipologie":[778],"class_list":["post-192495","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electricity-network-en","tag-quality-of-supply","pubblicazioni_tipologie-paper-en"],"acf":{"projects":{"ID":191050,"post_author":"464","post_date":"2024-07-10 16:51:19","post_date_gmt":"2024-07-10 14:51:19","post_content":"","post_title":"Architecture and management models of the electrical system and grids","post_excerpt":"The project aims to develop methodologies, software tools, prototypes and demonstrators to optimise electric transmission and distribution grids, as well as new architecture and system management models and new regulatory schemes that encourage the integration of renewable and non-programmable generation, self-generation, storage systems and aggregators, and that take into account electric penetration.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"architecture-and-management-models-of-the-electrical-system-and-grids","to_ping":"","pinged":"","post_modified":"2024-08-21 12:10:45","post_modified_gmt":"2024-08-21 10:10:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/architecture-and-management-models-of-the-electrical-system-and-grids\/","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":"
The application enabled the integration of the classifier, recently developed by RSE, DELFI (DEep Learning for False voltage dips Identification), making its intensive validation on a large number of voltage dips possible for the first time. Thanks to this tool, a comparison was made between the performances of the DELFI criterion and those of the previous criterion used in the QuEEN system based on the measurement of the 2nd harmonic using the data recorded by 61 measuring instruments in the period 2015-2020.
\nThe analysis focused on the evaluation of traditional indicators used such as the N2a and N3b indices. The results show that using the DELFI classifier increases N2a and N3b by 20.6% and 38.8%, respectively, compared to the criterion currently used in QuEEN.<\/p>\n","scarica_file":[{"download_option":"download","file_name":"Download Memory","download":{"ID":170761,"id":170761,"title":"21001887","filename":"21001887.pdf","filesize":446722,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2022\/08\/21001887.pdf","link":"https:\/\/www.rse-web.it\/en\/pubblicazioni\/automated-tool-based-on-deep-learning-to-assess-voltage-dips-validity-integration-in-the-queen-mv-network-monitoring-system\/attachment\/21001887\/","alt":"","author":"93","description":"","caption":"","name":"21001887","status":"inherit","uploaded_to":170760,"date":"2022-08-04 13:40:23","modified":"2022-08-04 13:40:23","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":"2021-07-30","autori":"M. Zanoni, R. Chiumeo, L. Tenti, M. Volta (RSE S.p.A.)","destinazione":"19th International Conference on Renewable Energies and Power Quality (ICREPQ\u201921), Almeria (Spain), July 28-30, 2021","rif_rse":"21001887"},"satellite_post_url":""},"yoast_head":"\n