{"id":1169,"date":"2024-02-22T20:18:40","date_gmt":"2024-02-22T20:18:40","guid":{"rendered":"https:\/\/prlalmeida.com.br\/dsbd\/?page_id=1169"},"modified":"2024-11-27T01:00:35","modified_gmt":"2024-11-27T01:00:35","slug":"detecting-faults-on-power-grids","status":"publish","type":"page","link":"https:\/\/prlalmeida.com.br\/dsbd\/detecting-faults-on-power-grids\/","title":{"rendered":"Detecting faults on power grids"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1169\" class=\"elementor elementor-1169\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1c283f8 e-flex e-con-boxed e-con e-parent\" data-id=\"1c283f8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-69fa1dd elementor-widget elementor-widget-heading\" data-id=\"69fa1dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Detecting faults on power grids<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-37d8558 e-flex e-con-boxed e-con e-parent\" data-id=\"37d8558\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9e59000 elementor-widget elementor-widget-text-editor\" data-id=\"9e59000\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This project aims to develop a framework for fault diagnosis in transmission lines through machine learning. A fault refers to a disturbance in the normal flow of electricity in the components of a power system, such as an increase in the current flow to one or more phases (Figure 1). In particular, this project focuses especially on two crucial tasks: fault classification and fault location<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f1d1c18 e-flex e-con-boxed e-con e-parent\" data-id=\"f1d1c18\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8c6711a elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"8c6711a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"503\" src=\"https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-2-1024x503-1.png\" class=\"attachment-large size-large wp-image-1173\" alt=\"\" srcset=\"https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-2-1024x503-1.png 1024w, https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-2-1024x503-1-300x147.png 300w, https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-2-1024x503-1-768x377.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-84afccd e-flex e-con-boxed e-con e-parent\" data-id=\"84afccd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e26c0f1 elementor-widget elementor-widget-text-editor\" data-id=\"e26c0f1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Figure 1 &#8211; Example of a real fault of type AG with inception around 0.08 seconds<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b6a2677 e-flex e-con-boxed e-con e-parent\" data-id=\"b6a2677\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9de6135 elementor-widget elementor-widget-text-editor\" data-id=\"9de6135\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The former task is responsible for determining which phases (A, B, C) are involved in the respective failure, with the action or not of the ground (G). The latter task is responsible for providing an approximate position where the failure occurred in the line. Both activities are critical aspects of transmission line maintenance and repair, as they enable power companies to quickly and accurately identify the type and the location of a fault to dispatch a repair staff to fix the issue. Figure 2 represents an overview of the proposed method.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f65cddf e-flex e-con-boxed e-con e-parent\" data-id=\"f65cddf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4b7f8f4 elementor-widget__width-initial elementor-widget elementor-widget-image\" data-id=\"4b7f8f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"530\" src=\"https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-1-1-1024x530-1.png\" class=\"attachment-large size-large wp-image-1172\" alt=\"\" srcset=\"https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-1-1-1024x530-1.png 1024w, https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-1-1-1024x530-1-300x155.png 300w, https:\/\/prlalmeida.com.br\/dsbd\/wp-content\/uploads\/2024\/02\/unnamed-1-1-1024x530-1-768x398.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f1a1a74 e-flex e-con-boxed e-con e-parent\" data-id=\"f1a1a74\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1c3b94d elementor-widget elementor-widget-text-editor\" data-id=\"1c3b94d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Figure 2 &#8211; Operating environment of the proposed method for fault diagnosis in transmission lines.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-65e2b3c e-flex e-con-boxed e-con e-parent\" data-id=\"65e2b3c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ad15f5e elementor-widget elementor-widget-text-editor\" data-id=\"ad15f5e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The solution developed in this project uses oscillography data of voltage and current signals (e.g., Figure 1), extracting features from these waveforms to feed ensemble-based algorithms to perform the classification and location task. In particular, we developed a novel dynamic regressor selection scheme to perform the fault location task.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5892b8e e-flex e-con-boxed e-con e-parent\" data-id=\"5892b8e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-88737a8 elementor-widget elementor-widget-heading\" data-id=\"88737a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Current Results\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-577ce49 e-flex e-con-boxed e-con e-parent\" data-id=\"577ce49\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b846960 elementor-widget elementor-widget-text-editor\" data-id=\"b846960\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tWe have already published some results in national and international conferences like KDMiLe\n(<a class=\"projects-title\" style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.5753\/kdmile.2022.227805\">https:\/\/doi.org\/10.5753\/kdmile.2022.227805<\/a>), SBBD\n(<a class=\"projects-title\" style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.5753\/sbbd.2023.231718\">https:\/\/doi.org\/10.5753\/sbbd.2023.231718<\/a>), and IECON\n(<a class=\"projects-title\" style=\"text-decoration: none;\"  href=\"https:\/\/dx.doi.org\/10.1109\/IECON49645.2022.9968993\">https:\/\/dx.doi.org\/10.1109\/IECON49645.2022.9968993<\/a>), as well as a recent work in the\ninternational journal Neural Computing &amp; Applications (<a class=\"projects-title\" style=\"text-decoration: none;\"  href=\"https:\/\/doi.org\/10.1007\/s00521-023-09155-y\">https:\/\/doi.org\/10.1007\/s00521-023-09155-y<\/a>).\nMoreover, all data created in our study and used to assess our framework are available to the\nscientific community:  <a class=\"projects-title\" style=\"text-decoration: none;\"  href=\"https:\/\/dx.doi.org\/10.5281\/zenodo.10275032\">https:\/\/dx.doi.org\/10.5281\/zenodo.10275032<\/a>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e8c1977 e-flex e-con-boxed e-con e-parent\" data-id=\"e8c1977\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f7c642a elementor-widget elementor-widget-heading\" data-id=\"f7c642a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Main Technologies\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-22261cf e-flex e-con-boxed e-con e-parent\" data-id=\"22261cf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e843115 elementor-widget elementor-widget-text-editor\" data-id=\"e843115\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>deep learning, ensemble, dynamic regressor selection, denial constraints<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Detecting faults on power grids This project aims to develop a framework for fault diagnosis in transmission lines through machine [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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