{"id":1121,"date":"2019-03-08T16:10:26","date_gmt":"2019-03-08T19:10:26","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1121"},"modified":"2019-03-08T16:10:26","modified_gmt":"2019-03-08T19:10:26","slug":"vol17-no1-art2","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol17-no1\/vol17-no1-art2\/","title":{"rendered":"UM MODELO DE OTIMIZA\u00c7\u00c3O MULTI-OBJETIVO DE DEMAND RESPONSE PARA PROGRAMA\u00c7\u00c3O DE CARGA RESIDENCIAL"},"content":{"rendered":"<p><strong>T\u00edtulo:\u00a0<\/strong>UM MODELO DE OTIMIZA\u00c7\u00c3O MULTI-OBJETIVO DE DEMAND RESPONSE PARA PROGRAMA\u00c7\u00c3O DE CARGA RESIDENCIAL<\/p>\n<p><strong>Autores:<\/strong> Igor Rafael S. Silva, Ricardo A.L. Rab\u00ealo, Jaclason M. Veras e Pl\u00e1cido R. Pinheiro<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Este trabalho apresenta um modelo de otimiza\u00e7\u00e3o multi-objetivo para a <em>Demand Response<\/em> (DR) residencial baseando-se no pre\u00e7o da energia el\u00e9trica em tempo real (RTP), a fim de minimizar tanto o custo associado ao consumo de eletricidade quanto o n\u00edvel de inconveni\u00eancia (insatisfa\u00e7\u00e3o\/desconforto) dos consumidores finais. O modelo proposto foi formalizado como um problema de programa\u00e7\u00e3o n\u00e3o-linear sujeito a um conjunto de restri\u00e7\u00f5es associadas ao consumo de energia de el\u00e9trica e aos aspectos operacionais relacionados \u00e0s diferentes categorias de aparelhos el\u00e9tricos. O problema de DR mostrado neste trabalho, foi solucionado computacionalmente por meio do <em>Non-Dominated Sorted Genetic Algorithm<\/em> II (NSGA-II) com o intuito de determinar a nova programa\u00e7\u00e3o de opera\u00e7\u00e3o dos aparelhos residenciais para qualquer horizonte de tempo. Os resultados num\u00e9ricos mostram uma redu\u00e7\u00e3o no custo associado ao consumo de eletricidade e tamb\u00e9m, no n\u00edvel de inconveni\u00eancia (insatisfa\u00e7\u00e3o\/desconforto) dos consumidores finais. Al\u00e9m disso, os resultados alcan\u00e7ados com o NSGA-II usando o modelo proposto permite ao consumidor tomar uma decis\u00e3o sobre a redu\u00e7\u00e3o do custo exigido, de forma a buscar adequa\u00e7\u00e3o \u00e0 quantidade de inconveni\u00eancia tolerada pelo consumidor.<\/p>\n<p><strong>Palavras-chave:<\/strong> Gerenciamento de carga, Modelo n\u00e3o-linear, Redes inteligentes, Resposta \u00e0 demanda, Otimiza\u00e7\u00e3o multi-objetivo, NSGA-II<\/p>\n<p><strong>P\u00e1ginas:<\/strong>\u00a010<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/LNLM-vol17-no1-art2\">10.21528\/LNLM-vol17-no1-art2<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2019\/03\/vol17-no1-art2.pdf\">vol17-no1-art2.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2019\/03\/vol17-no1-art2.bib\">vol17-no1-art2.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo:\u00a0UM MODELO DE OTIMIZA\u00c7\u00c3O MULTI-OBJETIVO DE DEMAND RESPONSE PARA PROGRAMA\u00c7\u00c3O DE CARGA RESIDENCIAL Autores: Igor Rafael S. Silva, Ricardo A.L. Rab\u00ealo, Jaclason M. Veras e Pl\u00e1cido R. Pinheiro Resumo: Este trabalho apresenta um modelo de otimiza\u00e7\u00e3o multi-objetivo para a Demand <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol17-no1\/vol17-no1-art2\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1115,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1121","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>UM MODELO DE OTIMIZA\u00c7\u00c3O MULTI-OBJETIVO DE DEMAND RESPONSE PARA PROGRAMA\u00c7\u00c3O DE CARGA RESIDENCIAL - 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\/vol17-no1\/vol17-no1-art2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"UM MODELO DE OTIMIZA\u00c7\u00c3O MULTI-OBJETIVO DE DEMAND RESPONSE PARA PROGRAMA\u00c7\u00c3O DE CARGA RESIDENCIAL - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo:\u00a0UM MODELO DE OTIMIZA\u00c7\u00c3O MULTI-OBJETIVO DE DEMAND RESPONSE PARA PROGRAMA\u00c7\u00c3O DE CARGA RESIDENCIAL Autores: Igor Rafael S. Silva, Ricardo A.L. Rab\u00ealo, Jaclason M. Veras e Pl\u00e1cido R. 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