Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy

Nowadays, autonomous systems that incorporate renewable energy sources and energy storage systems play a fundamental role as a solution to energy supply problems. These systems are a good alternative, mainly in remote areas of the electricity network such as islands. This paper analyzes the cost of...

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Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Católica de Pereira
Repositorio:
Repositorio Institucional - RIBUC
Idioma:
spa
OAI Identifier:
oai:repositorio.ucp.edu.co:10785/9983
Acceso en línea:
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126
http://hdl.handle.net/10785/9983
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Derechos de autor 2019 Entre Ciencia e Ingeniería
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spelling 2022-06-01T19:09:00Z2022-06-01T19:09:00Z2019-06-06https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/112610.31908/19098367.4011http://hdl.handle.net/10785/9983Nowadays, autonomous systems that incorporate renewable energy sources and energy storage systems play a fundamental role as a solution to energy supply problems. These systems are a good alternative, mainly in remote areas of the electricity network such as islands. This paper analyzes the cost of battery life, operation and maintenance costs and the uncertainty costs associated with renewable energy agents for an autonomous microgrid developed on Dong-fushan Island in China, all in order to obtain the adequate parameters for the optimum operation of the same, without forgetting the characteristics of useful life in specific lead-acid batteries. It is intended, through the non-dominant algorithm of genetic classification (NSGA II), to achieve maximization of the aforementioned variables: useful life of the batteries, and the reduction of the generation cost, proposing a multi-objective optimization. In addition to the above, the costs of uncertainty associated with renewable wind energy are included.Hoy en día los sistemas autónomos que incorporan las fuentes de energía renovables y sistemas de almacenamiento de energía en baterías, desempeñan un papel fundamental como solución a inconvenientes de suministro de energía. Estos sistemas son una buena alternativa, principalmente en zonas apartadas de la red eléctrica, como islas. En este paper se analizan los costos de pérdida de vida útil de las baterías, costos de operación y mantenimiento y los costos de incertidumbre, asociados a agentes energéticos renovables para una microgrid autónoma desarrollada en la isla Dongfushan en China. Esto con el fin de obtener los parámetros adecuados para la óptima operación de la misma, así como las características específicas de vida útil de baterías del tipo leadacid. Se pretende, por medio del algoritmo no dominante de clasificación genética, por sus siglas en inglés NSGA II, alcanzar la maximización de las ya mencionadas variables: vida útil de las baterías y reducción del costo de generación, planteando una optimización multiobjetivo. Además de lo anterior, se incluyen los costos de incertidumbre asociados a las energías renovables solar y eólica.application/pdfapplication/xmlspaUniversidad Católica de Pereirahttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126/1101https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126/2559Derechos de autor 2019 Entre Ciencia e Ingenieríahttps://creativecommons.org/licenses/by-nc/4.0/deed.es_EShttps://creativecommons.org/licenses/by-nc/4.0/deed.es_ESinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Entre ciencia e ingeniería; Vol. 13 Núm. 25 (2019); 23-34Entre Ciencia e Ingeniería; Vol. 13 Núm. 25 (2019); 23-34Entre ciencia e ingeniería; Vol. 13 Núm. 25 (2019); 23-342539-41691909-8367Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energyOptimización de la operación de una microgrid considerando el costo de operación, la vida útil de las baterías y el costo de incertidumbre de energía eólicaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionCarvajal González, Erik EstebanMuñoz López, Gustavo JavierRivera, SergioPublication10785/9983oai:repositorio.ucp.edu.co:10785/99832025-01-27 18:59:30.843https://creativecommons.org/licenses/by-nc/4.0/deed.es_ESDerechos de autor 2019 Entre Ciencia e Ingenieríametadata.onlyhttps://repositorio.ucp.edu.coRepositorio Institucional de la Universidad Católica de Pereira - RIBUCbdigital@metabiblioteca.com
dc.title.eng.fl_str_mv Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
dc.title.spa.fl_str_mv Optimización de la operación de una microgrid considerando el costo de operación, la vida útil de las baterías y el costo de incertidumbre de energía eólica
title Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
spellingShingle Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
title_short Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
title_full Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
title_fullStr Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
title_full_unstemmed Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
title_sort Optimization of a microgrid operation considering operation cost, life of the batteries and uncertainty cost of eolic energy
description Nowadays, autonomous systems that incorporate renewable energy sources and energy storage systems play a fundamental role as a solution to energy supply problems. These systems are a good alternative, mainly in remote areas of the electricity network such as islands. This paper analyzes the cost of battery life, operation and maintenance costs and the uncertainty costs associated with renewable energy agents for an autonomous microgrid developed on Dong-fushan Island in China, all in order to obtain the adequate parameters for the optimum operation of the same, without forgetting the characteristics of useful life in specific lead-acid batteries. It is intended, through the non-dominant algorithm of genetic classification (NSGA II), to achieve maximization of the aforementioned variables: useful life of the batteries, and the reduction of the generation cost, proposing a multi-objective optimization. In addition to the above, the costs of uncertainty associated with renewable wind energy are included.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-06-06
dc.date.accessioned.none.fl_str_mv 2022-06-01T19:09:00Z
dc.date.available.none.fl_str_mv 2022-06-01T19:09:00Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
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status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126
10.31908/19098367.4011
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10785/9983
url https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126
http://hdl.handle.net/10785/9983
identifier_str_mv 10.31908/19098367.4011
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126/1101
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126/2559
dc.rights.spa.fl_str_mv Derechos de autor 2019 Entre Ciencia e Ingeniería
https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Derechos de autor 2019 Entre Ciencia e Ingeniería
https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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dc.publisher.spa.fl_str_mv Universidad Católica de Pereira
dc.source.eng.fl_str_mv Entre ciencia e ingeniería; Vol. 13 Núm. 25 (2019); 23-34
dc.source.spa.fl_str_mv Entre Ciencia e Ingeniería; Vol. 13 Núm. 25 (2019); 23-34
dc.source.por.fl_str_mv Entre ciencia e ingeniería; Vol. 13 Núm. 25 (2019); 23-34
dc.source.none.fl_str_mv 2539-4169
1909-8367
institution Universidad Católica de Pereira
repository.name.fl_str_mv Repositorio Institucional de la Universidad Católica de Pereira - RIBUC
repository.mail.fl_str_mv bdigital@metabiblioteca.com
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