{"id":455,"date":"2026-04-13T16:51:44","date_gmt":"2026-04-13T06:51:44","guid":{"rendered":"https:\/\/wp.csiro.au\/epics\/?p=455"},"modified":"2026-04-17T17:56:17","modified_gmt":"2026-04-17T07:56:17","slug":"data-driven-frameworks-for-model-identification-in-ibr-dominated-power-systems","status":"publish","type":"post","link":"https:\/\/wp.csiro.au\/epics\/data-driven-frameworks-for-model-identification-in-ibr-dominated-power-systems\/","title":{"rendered":"8. Data-driven frameworks for model identification in IBR-dominated power systems"},"content":{"rendered":"<figure class=\"wp-block-image alignright size-large is-resized nba-caption-filter transcript__wrapper\"><div class=\"transcript__content\"><a href=\"https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems.pdf\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"723\" height=\"1024\" src=\"https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-723x1024.png\" alt=\"\" class=\"wp-image-453\" style=\"width:300px\" srcset=\"https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-723x1024.png 723w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-212x300.png 212w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-768x1087.png 768w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-763x1080.png 763w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-424x600.png 424w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-177x250.png 177w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-318x450.png 318w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-530x750.png 530w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-181x256.png 181w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-271x384.png 271w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-362x512.png 362w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-543x768.png 543w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-71x100.png 71w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-106x150.png 106w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems-247x350.png 247w, https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Screenshot-Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems.png 859w\" sizes=\"auto, (max-width: 723px) 100vw, 723px\"><\/a><\/div><figcaption class=\"transcript__info\"><div class=\"transcript__caption\"><div class=\"transcript__caption-text\"><p>Data-driven frameworks for model identification in IBR-dominated power systems<\/p>\n<\/div><\/div><\/figcaption><\/figure>\n\n\n<ul class=\"wp-block-list\">\n<li>Small-signal stability refers to the ability of a system to operate stably under small perturbations.<\/li>\n\n\n\n<li>General workflow: Select an operating point \u2192 linearise the system around this operating point \u2192 evaluate stability based on linear control theory [1].<\/li>\n\n\n\n<li>Entire system structure is available \u2192 time-domain methods based on state-space models (SSMs) and eigenvalues can be directly applied.<\/li>\n\n\n\n<li>Black-boxed components appear \u2192 frequency-domain based methods based on input-output measurements and Nyquist criteria are preferred [2].<\/li>\n\n\n\n<li>However, frequency-based methods suffer from poor scalability for large systems due to limited representational capability of symbolic transfer functions in the s-domain.<\/li>\n\n\n\n<li>This research proposes a tangential matching method [3] to achieve SSM of voltage-source converter (VSC) directly from data, which facilitates stability assessment in a flexible and extensible manner.<\/li>\n<\/ul>\n\n\n<div style=\"display:block;text-align:left\" class=\"nba-block nba-csiro__button wp-block-nba-csiro-button\" data-block-id=\"f860c0f9-9834c86c-23bdf510\" data-block-type=\"nba-csiro__button\"><a href=\"https:\/\/wp.csiro.au\/epics\/files\/2026\/04\/Poster-Dang-Duong-Nguyen-Data-driven-frameworks-for-model-idenfitication-in-IBR-dominated-power-systems.pdf\" class=\" btn btn--primary \" target=\"_blank\"><span class=\"icon indicator indicator__external-link\" aria-label=\"Opens in a new tab\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" aria-hidden=\"true\" focusable=\"false\" class=\" svg-inline window-restore-regular\"><use xlink:href=\"#window-restore-regular\"><\/use><\/svg><\/span><span class=\"btn__text\">Download the poster<\/span><span class=\"btn__file-size\"><span class=\"btn__file-size--type\">PDF<\/span><span class=\"btn__file-size--size\">2 MB<\/span><\/span><\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>Dang Duong Nguyen* and Behrooz Bahrani &#8211; Department of Electrical and Computer Systems Engineering Monash University, Melbourne, Australia<\/p>\n","protected":false},"author":233,"featured_media":453,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"nba-redirect":"","footnotes":""},"categories":[6],"tags":[16,27,47],"class_list":["post-455","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-posters","tag-behrooz-bahrani","tag-dang-duong-nguyen","tag-poster"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Australian EPICS Workshop<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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