This document presents the context, motivations, algorithmic structures, and implementation specifics of a new software tool designed for selecting optimal network developments, supporting medium- to long-term planning of transmission networks. The tool will be based on a Genetic Algorithm, which is well-suited to address an extremely complex decision-making process that is combinatorial, multi-objective, and multi-scenario.<\/p>\n","protected":false},"author":464,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1335],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-197069","rapporti","type-rapporti","status-publish","hentry","tag-electricity-network-en","tag-planning-en","targets-research","rapporti_tipologie-report-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":191049,"post_author":"464","post_date":"2024-07-10 16:50:41","post_date_gmt":"2024-07-10 14:50:41","post_content":"","post_title":"Tools and models, including sectoral ones, for energy and electricity scenarios adapted to the evolution of the system - Analysis of market and regulatory evolution","post_excerpt":"In recent years, scenario analyses of the Italian electrical and energy system have been and will continue to be in the future the main tool for conducting impact studies on new drivers or new energy policies.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"tools-and-models-including-sectoral-ones-for-energy-and-electricity-scenarios-adapted-to-the-evolution-of-the-system-analysis-of-market-and-regulatory-evolution","to_ping":"","pinged":"","post_modified":"2024-08-09 15:57:42","post_modified_gmt":"2024-08-09 13:57:42","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/tools-and-models-including-sectoral-ones-for-energy-and-electricity-scenarios-adapted-to-the-evolution-of-the-system-analysis-of-market-and-regulatory-evolution\/","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 power system is poised to undergo radical transformations in the medium to long term from various perspectives: technical (new energy generation and storage technologies), social (new consumption habits and the electrification of the heating and transport sectors), regulatory and economic (new market forms, new interactions between energy vectors and system elements), and climatic (increased occurrence of extreme weather events).<\/p>\n
The electrical infrastructure system, specifically the transmission networks, will necessarily need to evolve to adapt to changes\u2014some of which are only partially foreseeable\u2014in boundary conditions, and to anticipate needs and issues that currently, or in the past, did not or did not yet raise concerns.<\/p>\n
Economic resources for investments in large infrastructure projects are limited; however, it is desirable that the future power system maintains high standards of adequacy, safety, stability, flexibility, and sustainability, all while aiming to maximize the social welfare of the community. Consequently, the decision-making problem of optimal network planning is evidently complex and multi-objective, involving choices that must be made years in advance of their impact on systems evolving with uncertain trajectories.<\/p>\n
This research project aims to develop a new software tool to support transmission network planners in identifying and evaluating optimal development operations. Specifically, the focus will be on finding an optimal mix of the best locations for new transmission lines, optimal reinforcement of existing lines, and the best locations for new energy storage systems. The tool will be characterized by:<\/p>\n
\u2022 Mathematical modeling;
\n\u2022 Generality, meaning applicability to any network;
\n\u2022 Modularity, meaning it will be flexible and extendable.<\/p>\n
It will be based on a Genetic Algorithm that will iteratively propose increasingly promising network development candidates, interpreting economic\/energy indicators derived from the analysis of one or more software tools queried at a lower hierarchical level to assess the effects of new hypothetical expansion strategies.<\/p>\n
The document explains in detail the context, motivations, algorithmic structure, and implementation specifics of this innovative tool.<\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Report","download":{"ID":105966,"id":105966,"title":"20000147-319120.pdf","filename":"20000147-319120.pdf","filesize":4703662,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2021\/03\/20000147-319120.pdf","link":"https:\/\/www.rse-web.it\/en\/rapporti\/20000147\/20000147-319120\/","alt":"","author":"464","description":"20000147-319120.pdf","caption":"","name":"20000147-319120","status":"inherit","uploaded_to":132807,"date":"2021-12-31 00:00:00","modified":"2021-03-17 12:49:21","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":"D. Piloni","rapporto":"","rif_rse":"20000147"},"satellite_post_url":""},"yoast_head":"\n