Recently updated on September 20th, 2024 at 09:45 am<\/p>","protected":false},"excerpt":{"rendered":"
The high penetration of generation from renewable sources leads to a reduction in network inertia, and a consequent reduction in its ability to restore nominal operation following disturbances and external contingencies. Therefore, it is important to develop innovative control techniques for electronic power converters, so that they can contribute to the stability and increase of the resilience of the grid. In this report the main approaches covered in the literature are described and their limitations and properties are discussed. <\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[652,1357,1324,1377,1307,1340,1315,1634],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-192912","rapporti","type-rapporti","status-publish","hentry","tag-active-networks","tag-distributed-generation-en","tag-electricity-network-en","tag-monitoring-and-control","tag-renewable-energy-en","tag-resilience","tag-smart-grids-en","tag-dc-microgrids","targets-research","rapporti_tipologie-report-en"],"acf":{"projects":{"ID":191050,"post_author":"464","post_date":"2024-07-10 16:51:19","post_date_gmt":"2024-07-10 14:51:19","post_content":"","post_title":"Architecture and management models of the electrical system and grids","post_excerpt":"The project aims to develop methodologies, software tools, prototypes and demonstrators to optimise electric transmission and distribution grids, as well as new architecture and system management models and new regulatory schemes that encourage the integration of renewable and non-programmable generation, self-generation, storage systems and aggregators, and that take into account electric penetration.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"architecture-and-management-models-of-the-electrical-system-and-grids","to_ping":"","pinged":"","post_modified":"2024-08-21 12:10:45","post_modified_gmt":"2024-08-21 10:10:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/architecture-and-management-models-of-the-electrical-system-and-grids\/","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":"
In recent decades we have been witnessing an ever-increasing penetration of generation from renewable sources interfaced to the grid via converters. As generation from rotating machines is replaced, the inertia of the system is reduced, and with it, the ability of the system to restore the nominal operating condition following disturbances and contingencies is reduced. Distributed generation converters will increasingly have to be able to support the grid, generate voltage references, feed short-circuit currents and possibly also provide black start<\/em> services.<\/p>\n For this reason, ever-increasing attention is being paid to the development of innovative control techniques for converters. While in physical terms, converters lead to a reduction in inertia and tend to destabilise the grid, they also offset this effect by their being fully controllable. Through the development of appropriate controls, converters can therefore have very varied behaviours and bring benefits and support to the grid. This report describes the main mathematical tools underlying stability analysis and some of the converter control techniques that are most studied in the literature, with a particular focus on their dynamic properties. Among the most interesting properties analysed are the dynamic response to large equilibrium perturbations, the black start<\/em> capability and the ability to operate in plug and play<\/em> mode.<\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Report","download":{"ID":166922,"id":166922,"title":"20010612","filename":"20010612.pdf","filesize":1542410,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2022\/05\/20010612.pdf","link":"https:\/\/www.rse-web.it\/en\/rapporti\/analisi-di-stabilita-del-modello-non-lineare-di-microreti-caratterizzate-da-alta-penetrazione-di-generazione-distribuita\/attachment\/20010612\/","alt":"","author":"93","description":"","caption":"","name":"20010612","status":"inherit","uploaded_to":166921,"date":"2022-05-17 14:39:36","modified":"2022-05-17 14:39:36","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":"2020-12-30","autori":"R. M. Vignali (RSE S.P.A.)","rapporto":"","rif_rse":"20010612"},"satellite_post_url":""},"yoast_head":"\n