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...
- Autores:
- 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:10785/13635
- Acceso en línea:
- https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126
http://hdl.handle.net/10785/13635
- Palabra clave:
- Rights
- openAccess
- License
- Derechos de autor 2019 Entre Ciencia e Ingeniería
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2023-08-29T03:49:31Z2023-08-29T03:49:31Z2019-06-06https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/112610.31908/19098367.4011http://hdl.handle.net/10785/13635Nowadays, 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, SergioPublication10785/13635oai:repositorio.ucp.edu.co:10785/136352025-01-27 19:00:01.036https://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 |
2023-08-29T03:49:31Z |
dc.date.available.none.fl_str_mv |
2023-08-29T03:49:31Z |
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 |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
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/10785/13635 |
url |
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1126 http://hdl.handle.net/10785/13635 |
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 application/xml |
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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1831929521422467072 |