Recently updated on August 31st, 2024 at 12:41 am<\/p>","protected":false},"excerpt":{"rendered":"
This paper proposes a method for topology identification based on phasor measurement units installed in a limited number of nodes. This method identifies the network topology through the comparison of multiple state estimates performed by considering the possible network topologies.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1377],"targets":[],"pubblicazioni_tipologie":[778],"class_list":["post-192485","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electricity-network-en","tag-monitoring-and-control","pubblicazioni_tipologie-paper-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":"
The distribution network is becoming more complex due to the integration of distributed energy resources which causes frequent reconfigurations of the network. In this context, knowledge of the grid topology is fundamental for the control and management of the entire system. Incorrect topology information leads to problems regarding the safe and reliable operation of the network. The minimum difference between real system states and state estimates indicates the actual network topology. To validate the proposed method, simulations were carried out considering a low voltage distribution network with measurements simulated by PMU. The simulation results highlight the good performance of this method, with a correct identification rate of over 77% for all possible network configurations considering loads and generators varying over time.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Memory","link":"https:\/\/ieeexplore.ieee.org\/document\/9584505"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2021-09-10","autori":"M.P. Kwaye, R. Lazzari (RSE S.p.A.)","destinazione":"2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC \/ I&CPS Europe), Bari, September 7-10, 2021","rif_rse":"21003012"},"satellite_post_url":""},"yoast_head":"\n