{"id":195313,"date":"2024-09-11T09:40:36","date_gmt":"2024-09-11T07:40:36","guid":{"rendered":"https:\/\/www.rse-web.it\/rapporti\/developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats\/"},"modified":"2024-09-11T09:44:17","modified_gmt":"2024-09-11T07:44:17","slug":"developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats","status":"publish","type":"rapporti","link":"https:\/\/www.rse-web.it\/en\/reports\/developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats\/","title":{"rendered":"Developments of further electric system vulnerability models for meteorological and hydrogeological threats"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>The report describes analytical models for the vulnerability of overhead line wires to excessively reduced insulation distances, the vulnerability of tower foundations to mechanical instability due to riverbank erosion and the vulnerability of generation assets to strong wind and prolonged droughts. Methods are also proposed to quantify system vulnerability and to propagate the uncertainties in the parameters of vulnerability models.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1325],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-195313","rapporti","type-rapporti","status-publish","hentry","tag-electrical-system","targets-research","rapporti_tipologie-report-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188405,"post_author":"93","post_date":"2024-06-13 15:10:12","post_date_gmt":"2024-06-13 13:10:12","post_content":"","post_title":"Resilience and Security for Energy Systems","post_excerpt":"The goal of the project is to increase the security and resilience of the energy system in the face of greater environmental threats due to climate change, through the development of tools to support institutions and operators and the definition of an optimal set of actions to be adopted for this purpose.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"resilience-and-security-for-energy-systems","to_ping":"","pinged":"","post_modified":"2024-07-02 10:30:30","post_modified_gmt":"2024-07-02 08:30:30","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/resilience-and-security-for-energy-systems\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"<p>The report addresses several aspects related to power system vulnerability, including component vulnerability models, system vulnerability indices and uncertainty propagation in vulnerability models.<\/p>\n<p>&nbsp;<\/p>\n<p>A model is proposed to quantify overhead line span vulnerability to flashovers due to excessively reduced insulation distances caused by concurrent factors (e.g. large OHL wire swings due to wind, \u201cincreased sags\u201d due to wet snow sleeves). The model solves an optimization problem to get the worst geometric configuration of wires, computes the relevant critical flashover voltage (under specified weather conditions) and the flashover probability.<\/p>\n<p>&nbsp;<\/p>\n<p>Simulations on a small set of OHL\u2019s in a portion of the Italian EHV\/HV grid affected by frequent flashovers show that the model is selective, i.e. able to select exclusively the lines which underwent recorded faults in the past, and robust, i.e. using a smaller amount of data does not affect significantly its outcomes, which is important for an extensive application also in areas where Lidar data are available with lower update rates.<\/p>\n<p>&nbsp;<\/p>\n<p>A model is also proposed to simulate the vulnerability of tower foundations to mechanical instability induced by riverbank erosion. Given the river flow speed and height, the erosion on the river channel is quantified, identifying the critical conditions for riverbank collapse with potential instability of the terrain under the tower foundations. The model accounts for different soil types and different distances of foundations from the riverbank.<\/p>\n<p>&nbsp;<\/p>\n<p>Moreover, analytical models are described to quantify respectively the mechanical vulnerability of wind turbine (WT) towers to strong wind and the effect of prolonged droughts on the maximum generation capacity of thermal units with CLC (Closed Loop Cycle) and OLC (Open Loop Cycle) cooling systems.<\/p>\n<p>&nbsp;<\/p>\n<p>Then, a methodology is proposed to compute probabilistic \u201csystem vulnerability\u201d (SV) indexes defined in the previous research year to assess system degradation as a function of threat features (e.g. extension, severity). Simulations show that the weighted average SV index is a good indicator of system vulnerability to threat scenarios.<\/p>\n<p>&nbsp;<\/p>\n<p>Finally, a method is proposed to propagate parameter uncertainties in the asset vulnerability models for the Terna-RSE resilience methodology: a distribution of line span failure return periods (RP) in case of strong wind is found under uncertain initial tensions for the wires. Simulations on wind threat indicate the method effectiveness and the variety of line span behaviours, in terms of RP uncertainty.<\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Deliverable","download":{"ID":195314,"id":195314,"title":"Developments of further electric system vulnerability models for meteorological and hydrogeological threats","filename":"Developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats.pdf","filesize":2378475,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2024\/09\/Developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats.pdf","link":"https:\/\/www.rse-web.it\/en\/reports\/developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats\/developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats\/","alt":"","author":"93","description":"","caption":"","name":"developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats","status":"inherit","uploaded_to":195313,"date":"2024-09-11 07:43:10","modified":"2024-09-11 07:43:10","menu_order":0,"mime_type":"application\/pdf","type":"application","subtype":"pdf","icon":"https:\/\/www.rse-web.it\/wp-includes\/images\/media\/document.png"}}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2023-12-31","autori":"A. Pitto, E. Ciapessoni, E. Ferrario (RSE S.p.A.)","rapporto":"","rif_rse":"23012607"},"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>Developments of further electric system vulnerability models for meteorological and hydrogeological threats - 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\/reports\/developments-of-further-electric-system-vulnerability-models-for-meteorological-and-hydrogeological-threats\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Developments of further electric system vulnerability models for meteorological and hydrogeological threats - RSE\" \/>\n<meta property=\"og:description\" content=\"The report describes analytical models for the vulnerability of overhead line wires to excessively reduced insulation distances, the vulnerability of tower foundations to mechanical instability due to riverbank erosion and the vulnerability of generation assets to strong wind and prolonged droughts. 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