Recently updated on August 31st, 2024 at 12:29 am<\/p>","protected":false},"excerpt":{"rendered":"
The Horizon2020 FlexPlan project aims to establish a new network planning methodology that considers the opportunity of introducing new storage resources and flexibility into electricity transmission and distribution networks as an alternative to building new network elements, in accordance with intentions of the European Commission’s regulatory package \u2018Clean Energy for All Europeans.\u2019
\nThis paper provides a comprehensive description of the modeling capabilities of the planning tool and preprocessor and provides first results of their application in small-scale scenarios.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[652,1324,1337,1335],"targets":[1314],"pubblicazioni_tipologie":[773],"class_list":["post-192637","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-active-networks","tag-electricity-network-en","tag-flexibility","tag-planning-en","targets-press-media-en","pubblicazioni_tipologie-isi-article-en"],"acf":{"projects":{"ID":189212,"post_author":"93","post_date":"2024-06-25 10:55:59","post_date_gmt":"2024-06-25 08:55:59","post_content":"","post_title":"Advanced methodology and tools taking advantage of storage and FLEXibility in\u202f transmission and distribution grid PLANning","post_excerpt":"FlexPlan aims at creating a new methodology for optimizing transmission and distribution grid planning, considering the placement of flexibility elements, in particular, storage and demand response, as an alternative to traditional grid expansion.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"advanced-methodology-and-tools-taking-advantage-of-storage-and-flexibility-in-transmission-and-distribution-grid-planning","to_ping":"","pinged":"","post_modified":"2024-06-26 17:01:12","post_modified_gmt":"2024-06-26 15:01:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/advanced-methodology-and-tools-taking-advantage-of-storage-and-flexibility-in-transmission-and-distribution-grid-planning\/","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":"
This paper provides a comprehensive description of the modeling capabilities of the planning tool and preprocessor and provides first results of their application on small-scale scenarios.
\nFlexPlan creates a new network planning tool whose ambition is to go beyond the state of the art of planning methodologies by including the following innovative features: evaluation of the best planning strategy by analyzing at a glance a large number of network expansion options (\u2018candidates\u2019) provided by a pre-processor; simultaneous evaluation of the medium and long-term planning of the network over three years (2030-2040-2050); incorporation of a full range of cost-benefit analysis criteria into the target function; integrated transmission distribution planning, embedded environmental analysis (air quality, carbon footprint, environmental protection restrictions); probabilistic contingency analysis methodologies replacing the traditional N-1 criterion; application of numerical decomposition techniques to reduce computational load and analysis of the variability of renewable generation time series through the application of the Monte Carlo method. Six regional cases are developed covering almost the whole of Europe to provide an insight into network planning in Europe up to 2050. FlexPlan will conclude by formulating guidelines for European regulators and network operators, indicating the extent to which system flexibility can help reduce overall system costs (operational investments) while maintaining current system security levels, and the regulatory provisions that could favor this process. This paper provides a comprehensive description of the modeling capabilities of the planning tool and preprocessor and provides first results of their application in small-scale scenarios.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download ISI Article","link":"https:\/\/www.mdpi.com\/1996-1073\/14\/4\/1194"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2021-02-25","autori":"G. Migliavacca, M. Rossi, D. Siface, M. Marzoli (RSE S.p.A.), H. Ergun (KU Leuven), R. Rodr\u00edguez-S\u00e1nchez (TECNALIA), M. Hanot, G. Leclerq (N-SIDE), N. Amaro, A. Egorov (R&D NESTER), J. Gabrielski, B.Matthes (Institute of Energy Systems), A. Morch (SINTEF Energi)","destinazione":"MDPI Energies 2021, 14(4), 1194, February 25, 2021","rif_rse":"21002633"},"satellite_post_url":""},"yoast_head":"\n