Recently updated on July 2nd, 2024 at 02:43 pm<\/p>","protected":false},"excerpt":{"rendered":"
The report presents advanced models of passive measures (including anti-torsion devices and RTV rubber liners) and active measures to improve resilience in transmission and distribution networks, and describes some updates to the methodology for selecting the optimal mix of measures in terms of computational efficiency, solution search space and measure availability.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1340,1339],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-189941","rapporti","type-rapporti","status-publish","hentry","tag-resilience","tag-transmission-and-distribution-networks","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":"
The report presents developments related to models and methods for identifying the optimal mix<\/em> of resilience measures.<\/p>\n <\/p>\n Firstly, an advanced model of an anti-torsion device to prevent wet snow sleeves to form is proposed: this model implements operator guidelines for the application of such devices, leading to a more precise characterization of this countermeasure (in terms of number of devices and inter-distance between them). Application of the model in long-term resilience assessments shows the benefit of the devices in reducing the expected unsupplied energy to customers. In addition, a model of RTV (Room Temperature Vulcanizing<\/em>) rubber coatings is proposed to reduce the vulnerability of insulators to the deposition of pollutants in wet conditions, taking into account that the performance of coatings is variable over time due to aging.<\/p>\n <\/p>\n Simulations conducted on a portion of the Italian transmission grid for long-term analysis, particularly for calculating the failure return times of grid components, show that coatings can reduce the average annual probability of failure (and increase failure return times) by percentages of up to 80 percent for distributed components such as overhead lines.<\/p>\n <\/p>\n A methodology is then described to evaluate the benefits of applying active measures in distribution networks, particularly network reconfiguration and the use of distributed generation and storage devices to manage isolated portions of the network: simulations show the methodology’s ability to quantify the benefits of these measures and to identify the most critical areas of the grid where additional resilience enhancements are needed.<\/p>\n <\/p>\n Next, the main features of the existing methodology for selecting the mix<\/em> of optimal passive and active measures to improve resilience are recalled and its limitations (e.g., related to computational time, search space) are discussed to suggest some directions for evolution.<\/p>\n <\/p>\n An evolved methodology is proposed that extends the search space on passive measures (stage<\/em> 1) and applies an iterative workflow<\/em> to the two-step<\/em> algorithm. In addition, the anti-torsional device model is integrated. The results on a test<\/em> network show that AT devices are preferred over hardening<\/em> of pylons, due to the “wet snow” threat, because of their lower investment costs, which is in line with the operator’s experience.<\/p>\n <\/p>\n Finally, an overview of techniques to improve the computational efficiency of the methodology is presented and a SW platform for comparing the same techniques is proposed. Application of Matlab’s “memoize” function to existing heuristics shows acceleration factors of up to 2 compared with the original implementation.<\/p>\n <\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Report","download":{"ID":186688,"id":186688,"title":"22014072","filename":"22014072.pdf","filesize":2789317,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2024\/02\/22014072.pdf","link":"https:\/\/www.rse-web.it\/en\/rapporti\/models-and-advanced-methods-for-identifying-the-optimal-mix-of-resilience-measures\/attachment\/22014072\/","alt":"","author":"93","description":"","caption":"","name":"22014072","status":"inherit","uploaded_to":186687,"date":"2024-02-26 11:50:08","modified":"2024-02-26 11:50:08","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":"2022-12-31","autori":"A. Pitto, E. Ciapessoni, M. Rossini, M. Rossi, C. Carlini (RSE S.p.A.)","rapporto":"","rif_rse":"22014072"},"satellite_post_url":""},"yoast_head":"\n