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Modelos de optimización para sistemas de potencia en la evolución hacia redes inteligentes: Una revisión
dc.contributor.author | Tello Maita, Josimar | |
dc.contributor.author | Marulanda Guerra, Agustín | |
dc.date.accessioned | 2021-05-06T15:09:37Z | |
dc.date.accessioned | 2021-10-01T17:24:41Z | |
dc.date.available | 2021-05-06T15:09:37Z | |
dc.date.available | 2021-10-01T17:24:41Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 0012-7353 | |
dc.identifier.uri | https://repositorio.escuelaing.edu.co/handle/001/1403 | |
dc.description.abstract | El presente artículo describe los modelos de optimización recientemente aplicados al diseño y operación de los sistemas de potencia hacia la conformación de las redes inteligentes e identifica las tendencias, barreras y posibles brechas en esta área. Se describen modelos para optimizar el diseño y la operación de los sistemas de potencia considerando las energías renovables, la generación distribuida, las micro redes, la gestión de la demanda y los sistemas de almacenamiento de energía. Se concluyó que es necesario validar muchos de los modelos que se han formulado recientemente para la optimización de la operación mediante pruebas con datos reales y a gran escala. Además, la gestión de la demanda y las micro redes son aspectos en los cuales se requieren desarrollar modelos para el flujo óptimo de potencia. Finalmente, es necesario predecir con mayor precisión las variables estocásticas para que estos modelos se adapten al comportamiento real del sistema. | spa |
dc.description.abstract | The present paper aims to describe the optimization models recently applied to the design and operation of power systems in the road to the formation of smart grids and to identify the trends, challenges and possible gaps existing in this field of study. The models described allow performing optimization of the design and operation of power systems considering aspects as renewable energies and its related variability, distributed generation and micro grids, demand-site management and energy storage systems. Conclusions point out that several of the models recently formulated need to be validated with real data and large-scale systems tests. Moreover, demand-site management and micro grids are aspects that lack of the development of complete optimal power flow models. Finally, the accurate forecasting of stochastic variables is necessary to accomplish a better adaptation of models to real behavior of the power system. | spa |
dc.format.extent | 10 páginas | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.publisher | Universidad Nacional de Colombia | spa |
dc.rights | The author; licensee Universidad Nacional de Colombia. | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | spa |
dc.source | https://revistas.unal.edu.co/index.php/dyna/article/view/63354/62427 | spa |
dc.title | Modelos de optimización para sistemas de potencia en la evolución hacia redes inteligentes: Una revisión | spa |
dc.title.alternative | Optimization models for power systems in the evolution to smart grids: A review | spa |
dc.type | Artículo de revista | spa |
dc.description.notes | a Facultad de Ingeniería, Universidad del Zulia, Maracaibo, Venezuela. jtello@fing.luz.edu.ve b Escuela Colombiana de Ingeniería Julio Garavito, Bogotá, Colombia. agustin.marulanda@escuelaing.edu.co | spa |
dc.type.version | info:eu-repo/semantics/publishedVersion | spa |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.contributor.researchgroup | Grupo de Modelación Estratégica en Energía y Potencia | spa |
dc.identifier.doi | 10.15446/dyna.v84n202.63354 | |
dc.identifier.url | https://doi.org/10.15446/dyna.v84n202.63354 | |
dc.publisher.place | Medellin, Colombia. | spa |
dc.relation.citationedition | Revista DYNA, 84(202), pp. 102-111, September, 2017. | spa |
dc.relation.citationendpage | 111 | spa |
dc.relation.citationissue | 202 | spa |
dc.relation.citationstartpage | 102 | spa |
dc.relation.citationvolume | 84 | spa |
dc.relation.indexed | N/A | spa |
dc.relation.ispartofjournal | Dyna | spa |
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dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | spa |
dc.subject.armarc | Sistemas híbridos de energía | spa |
dc.subject.armarc | Hybrid power systems | eng |
dc.subject.proposal | Optimización | spa |
dc.subject.proposal | Energías renovables | spa |
dc.subject.proposal | Redes inteligentes | spa |
dc.subject.proposal | Flujo óptimo de potencia | spa |
dc.subject.proposal | Optimization | spa |
dc.subject.proposal | Renewable energies | spa |
dc.subject.proposal | Smart grids | spa |
dc.subject.proposal | Optimal power flow | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.redcol | http://purl.org/redcol/resource_type/ART | spa |
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AE - Modelación Estratégica en Energía y Potencia – MEEP [19]
Clasificación: A - Convocatoria 2018