| Metadato | Etiqueta | Valor | Idioma |
|---|---|---|---|
| dc.contributor.author | Autor | Guichon, Michelle | es |
| dc.contributor.author | Autor | Melo, Magdalena | es |
| dc.contributor.author | Autor | Nieto, Ana Carolina | es |
| dc.contributor.author | Autor | Vignolo, Mario | es |
| dc.contributor.author | Autor | Yedrzejewski, Nicolás | es |
| dc.date.accessioned | Fecha ingreso | 2023-11-14T17:04:34Z | - |
| dc.date.available | Fecha disponible | 2023-11-14T17:04:34Z | - |
| dc.date.issued | Año de publicación | 2012 | es |
| dc.date.submitted | Fecha de subida | 20231114 | es |
| dc.description.abstract | Resumen | This paper presents an optimization tool based on Genetic Algorithms, DAC-CMAG (Automatic Load Shedding Calculated Through Genetic Algorithms), developed in Matlab and applied to the calculation of load shedding in Electric Power Systems. This application calculates the optimal load shed necessary to eliminate overloading of any series element of an electrical network. It includes a module that runs DC load flow to calculate the power flow for each branch or transformer and verifies there are no current violations in any equipment. The results are analyzed using this tool applied to the calculation of optimum load shed required for the worst contingencies in the 500kV power system of Uruguay. | es |
| dc.identifier.citation | Citación | Guichon, M, Melo, M, Nieto, A,Vignolo, M, Yedrzejewski, N. "Automatic load shedding calculated with genetic algorithms – DAC-CMAG" Proceedings of the Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T | es |
| dc.identifier.citation | Citación | D-LA). Monte video, Uruguay, 3-5 set. 2012. | es |
| dc.identifier.uri | URI | https://hdl.handle.net/20.500.12008/41157 | - |
| dc.language | metadata.dc.language | en | es |
| dc.publisher | Editorial | Power Engineering Society and IEEE Uruguay Section | es |
| dc.relation.ispartof | EN | Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T | es |
| dc.relation.ispartof | EN | D-LA). Montevideo, Uruguay, 2-5 set. 201|2 | es |
| dc.rights | Derechos | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
| dc.rights.licence | Licencia | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) | es |
| dc.subject | Palabras clave | DC load flow | es |
| dc.subject | Palabras clave | Load shedding | es |
| dc.subject | Palabras clave | Genetic algorithm | es |
| dc.subject.other | Descriptores | Potencia | es |
| dc.title | Título | Automatic load shedding calculated with genetic algorithms – DAC-CMAG | es |
| dc.type | Tipo de documento | Ponencia | es |
| udelar.academic.department | Departamento académico | Potencia | - |
| udelar.investigation.group | Grupo de investigación | Redes Eléctricas | - |
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| GMNVY12.pdf | — | 345.62 KB | Adobe PDF |