{"id":1559,"date":"2023-02-24T19:13:10","date_gmt":"2023-02-24T19:13:10","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1559"},"modified":"2023-02-24T19:13:10","modified_gmt":"2023-02-24T19:13:10","slug":"vol21-no1-art3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol21-no1\/vol21-no1-art3\/","title":{"rendered":"A Hybrid Meta-Heuristic Approach for Optimal Meter Allocation in Electric Power Distribution Systems"},"content":{"rendered":"<p>Thales Schuabb de Almeida <a href=\"https:\/\/orcid.org\/0000-0003-3374-6717\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Lucas Eduardo Silva Braga <a href=\"https:\/\/orcid.org\/0000-0002-5942-7514\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Leonardo Willer de Oliveira <a href=\"https:\/\/orcid.org\/0000-0001-9542-8357\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, Edimar Jose de Oliveira <a href=\"https:\/\/orcid.org\/0000-0002-7484-034X\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>&#038; Julio Cesar Stacchini de Souza <a href=\"https:\/\/orcid.org\/0000-0002-9862-166X\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a><\/p>\n<p><strong>Abstract:<\/strong> The number of nodes present in Electric Power Distribution Systems (EPDS) is a complicating factor for carrying out the State Estimation (SE) and the choice of allocation of available meters affects the quality of observability obtained by the SE. Thus, it is necessary to use optimization methods that evaluate the positions of meters in the system that can contribute to an optimal SE. Artificial Neural Networks (ANN) can perform SE, processing the information obtained by the available meters in an agile way. Meta-heuristics techniques apply to the optimal allocation problem but can be slow processing. Thus, the work seeks to evaluate the potential of a hybrid method that associates the meta-heuristic technique, Artificial Immune System (AIS), with ANNs for evaluating several allocation options in an agile way to find an optimal solution for the allocation of meters.<\/p>\n<p><strong>Keywords:<\/strong> Meta-heuristics, artificial immune system, artificial neural network, distribution network, state estimation.<\/p>\n<p><strong>DOI code:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol21-no1-art3\">10.21528\/lnlm-vol21-no1-art3<\/a><\/p>\n<p><strong>PDF file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2023\/02\/vol21-no1-art3.pdf\">vol21-no1-art3.pdf<\/a><\/p>\n<p><strong>BibTex file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2023\/02\/vol21-no1-art3.bib\">vol21-no1-art3.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Thales Schuabb de Almeida , Lucas Eduardo Silva Braga , Leonardo Willer de Oliveira , Edimar Jose de Oliveira &#038; Julio Cesar Stacchini de Souza Abstract: The number of nodes present in Electric Power Distribution Systems (EPDS) is a complicating <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol21-no1\/vol21-no1-art3\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1546,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1559","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A Hybrid Meta-Heuristic Approach for Optimal Meter Allocation in Electric Power Distribution Systems - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol21-no1\/vol21-no1-art3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Hybrid Meta-Heuristic Approach for Optimal Meter Allocation in Electric Power Distribution Systems - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Thales Schuabb de Almeida , Lucas Eduardo Silva Braga , Leonardo Willer de Oliveira , Edimar Jose de Oliveira &#038; 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