This paper proposes a control strategy to enable a unit consisting of a wind farm and battery energy storage systems to provide a fast frequency regulation service. The control is based on the Model Predictive Control technique, while the regulation service is defined according to the technical requirements of the Italian transmission grid operator. The approach was also tested by means of Hardware-In-the-Loop simulations.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1302,1324,1434,1299,1362],"targets":[1317],"pubblicazioni_tipologie":[773],"class_list":["post-198879","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-batteries","tag-electricity-network-en","tag-network-security","tag-storage-en","tag-storage-systems-en","targets-research","pubblicazioni_tipologie-isi-article-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188403,"post_author":"464","post_date":"2024-06-13 15:10:08","post_date_gmt":"2024-06-13 13:10:08","post_content":"","post_title":"Evolution, planning, scheduling and operation of power grids","post_excerpt":"The goal of the project is the pursuit of efficient management of the Italian electricity system that meets, in evolving scenarios, criteria of security and quality of operation, adequacy and resilience, ensuring a system-based approach. ","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"evolution-planning-scheduling-and-operation-of-power-grids","to_ping":"","pinged":"","post_modified":"2024-07-02 10:31:45","post_modified_gmt":"2024-07-02 08:31:45","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/evolution-planning-scheduling-and-operation-of-power-grids\/","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 integration of Renewable Energy Sources (RES) into the power system requires an upgrade of the adopted management and control solutions. Focusing on frequency regulation, the same RES, as well as loads, both possibly coupled with energy storage systems, are called to provide a contribution through suitable regulation services.<\/p>\n
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In this context, this paper proposes a control strategy for enabling a unit composed by a Wind Farm and Battery Energy Storage Systems (BESSs) to provide a fast frequency regulation service. The control is based on Model Predictive Control technique, whereas the regulation service is defined according to the technical requirements of the Italian Transmission System Operator (TSO).<\/p>\n
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The approach is also tested via Hardware-In-the-Loop simulations. More specifically, tests are carried out by implementing the control algorithm on a Raspberry Pi board that communicates with a real BESS and with a real-time simulator implementing a benchmark power system.<\/p>\n
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The validation results prove the practical effectiveness of the proposed control method since they demonstrate that the designed algorithms can be implemented on a low-cost hardware and applied, without computational and communication issues, in a real-field framework.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Publication","link":"https:\/\/ieeexplore.ieee.org\/document\/10094032"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2023-04-06","autori":"D. Cirio, C. Gandolfi, M. R. Rapizza (RSE S.p.A.), F. Conte, B. Gabriele, S. Massucco, F. Silvestro (Universit\u00e0 degli Studi di Genova)","destinazione":"IEEE Transactions on Sustainable Energy, Vol. 14, N. 4","rif_rse":"22010697"},"satellite_post_url":""},"yoast_head":"\n