Recently updated on August 31st, 2024 at 12:04 am<\/p>","protected":false},"excerpt":{"rendered":"
Electromagnetic interference (EMI) generated by renewable generation systems in the grid receives increased attention especially in the low frequency range, given the typical switching frequencies of high-power inverters. Hence the interest both in EMI models of power inverters and in strategies to reduce the related conducted emissions. In this work, black-box modeling is applied to a system with three-phase inverters, adopting an alternative procedure to identify the parameters of the active part of the model, also taking into account certain limitations of black-box modeling.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1407,1307],"targets":[],"pubblicazioni_tipologie":[773],"class_list":["post-192586","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electricity-network-en","tag-quality-of-supply","tag-renewable-energy-en","pubblicazioni_tipologie-isi-article-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":"
Electromagnetic interference (EMI) generated by renewable generation systems in the grid receives increased attention especially in the low frequency range, given the typical switching frequencies of high-power inverters. It is therefore very important to be able to derive EMI models of power inverters as well as develop strategies to reduce the related conducted emissions. This study applies black-box modeling to a three-phase inverter system, by implementing an alternative procedure to identify the parameters that describe the active part of the model. It also examines two limitations of black-box modeling. The first is the need for the system to satisfy the assumption of linearity and time-invariance (LTI). The influence of this hypothesis on the prediction accuracy is analyzed by referring to the decomposition into zero, positive and negative sequences. It is shown that the predictions for the positive\/negative sequences are strongly influenced by this hypothesis, unlike those for the zero sequence. The second limitation is the possible variation of the network impedance which is not stabilized satisfactorily at low frequencies since it is outside the operating frequency range envisaged by the regulations for line impedance stabilization networks.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download ISI Article","link":"https:\/\/www.mdpi.com\/1996-1073\/14\/12\/3413"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2021-06-09","autori":"M. Zanoni, R. Chiumeo, L. Tenti (RSE S.p.A.), L.W. Abduselam, H. Beshir, X.W. Xiaokang Liu, F. Grassi, G. Spadacini, S.A. Pignari (Politecnico di Milano)","destinazione":"MDPI Energies, Vol.14 (12), 3413, June 9, 2021","rif_rse":"21003536"},"satellite_post_url":""},"yoast_head":"\n