The report outlines the current status of RSE’s RELIEF methodology and tool for assessing and improving resilience and focuses on three new developments: (1) an approach to calculate the return time of outages for AT\/MT substations, (2) a control measure based on OPF to enhance resilience, and (3) a method to quantify the dependence of infrastructure and electrical service restoration processes on exogenous factors.<\/p>\n","protected":false},"author":464,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1330],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-195693","rapporti","type-rapporti","status-publish","hentry","tag-electricity-network-en","tag-security-en","targets-research","rapporti_tipologie-report-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":191053,"post_author":"464","post_date":"2024-07-10 16:51:45","post_date_gmt":"2024-07-10 14:51:45","post_content":"","post_title":"Models and tools for interventions, including preventive interventions, for defending and improving grid security and resilience","post_excerpt":"Models and tools for interventions, including preventive interventions, for defending and improving grid security and resilience","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"models-and-tools-for-interventions-including-preventive-interventions-for-defending-and-improving-grid-security-and-resilience","to_ping":"","pinged":"","post_modified":"2024-08-09 16:02:23","post_modified_gmt":"2024-08-09 14:02:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/models-and-tools-for-interventions-including-preventive-interventions-for-defending-and-improving-grid-security-and-resilience\/","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 introduces the official definition of power system resilience proposed by the CIGRE C4.47 Working Group, which was significantly contributed to by RSE. This definition clearly distinguishes the “resilience” property from the measures that make a system resilient and characterizes the effects of an event (anticipation, preparation, shock absorption, degraded operation, recovery) in greater detail than what is typically found in the literature.<\/p>\n
After comparing resilience with more conventional properties (reliability, security, and adequacy), the report proposes a new framework for assessing and improving power system resilience, where resilience is considered an additional sub-property of reliability.<\/p>\n
The report also reviews the current state of the methodology and the associated tool (RELIEF) for evaluating and enhancing resilience and presents three updates: (1) a method to calculate the return time (RT) of outages at multiple HV\/MV substations to derive long-term resilience indicators, (2) a control measure based on OPF (Optimal Power Flow) to prevent snow sleeves from forming on conductors by maintaining a minimum anti-icing current on the most exposed branches, (3) an innovative quantitative methodology for modeling the restoration processes of infrastructure and energy supply services.<\/p>\n
The algorithm in point (1) identifies the most impactful combinations of HV\/MV substation outages and evaluates the minimum RT as the lowest value among the RTs of simultaneous outages of all line sets (cut-sets) whose loss causes the substations to lose power. Tests demonstrate the algorithm’s effectiveness in determining the lowest RT for each combination.<\/p>\n
The actions implemented in the OPF in point (2) include adjusting the OLTC (On-Load Tap Changer) positions and the active and reactive dispatch of distributed generation. This measure was validated on a realistic HV\/MV network model.<\/p>\n
The algorithm in point (3) quantifies the dependence of component repair times on exogenous factors (weather, team organization), accounting for related uncertainties. The recovery of energy supply service is simulated through power flow calculations, reconnecting components one by one based on increasing repair times while checking for potential safety violations.<\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Report","download":{"ID":105980,"id":105980,"title":"20000244-319200.pdf","filename":"20000244-319200.pdf","filesize":3253876,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2021\/03\/20000244-319200.pdf","link":"https:\/\/www.rse-web.it\/en\/rapporti\/20000244\/20000244-319200\/","alt":"","author":"464","description":"20000244-319200.pdf","caption":"","name":"20000244-319200","status":"inherit","uploaded_to":132896,"date":"2021-12-31 00:00:00","modified":"2021-03-17 12:50:51","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":"2019-12-31","autori":"A. Pitto, C. Carlini, E. Ciapessoni","rapporto":"","rif_rse":"20000244"},"satellite_post_url":""},"yoast_head":"\n