Automatic load shedding calculated with genetic algorithms – DAC-CMAG
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.
| 2012 | |
|
DC load flow Load shedding Genetic algorithm Potencia |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41157 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522992686628864 |
|---|---|
| author | Guichon, Michelle |
| author2 | Melo, Magdalena Nieto, Ana Carolina Vignolo, Mario Yedrzejewski, Nicolás |
| author2_role | author author author author |
| author_facet | Guichon, Michelle Melo, Magdalena Nieto, Ana Carolina Vignolo, Mario Yedrzejewski, Nicolás |
| author_role | author |
| bitstream.checksum.fl_str_mv | 7f2e2c17ef6585de66da58d1bfa8b5e1 9833653f73f7853880c94a6fead477b1 4afdbb8c545fd630ea7db775da747b2f 9da0b6dfac957114c6a7714714b86306 0ad526505c7d7f684412127b6e1c45f5 |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 MD5 |
| bitstream.url.fl_str_mv | http://localhost:8080/xmlui/bitstream/20.500.12008/41157/5/license.txt http://localhost:8080/xmlui/bitstream/20.500.12008/41157/2/license_text http://localhost:8080/xmlui/bitstream/20.500.12008/41157/3/license_url http://localhost:8080/xmlui/bitstream/20.500.12008/41157/4/license_rdf http://localhost:8080/xmlui/bitstream/20.500.12008/41157/1/GMNVY12.pdf |
| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Guichon, Michelle Melo, Magdalena Nieto, Ana Carolina Vignolo, Mario Yedrzejewski, Nicolás |
| dc.date.accessioned.none.fl_str_mv | 2023-11-14T17:04:34Z |
| dc.date.available.none.fl_str_mv | 2023-11-14T17:04:34Z |
| dc.date.issued.es.fl_str_mv | 2012 |
| dc.date.submitted.es.fl_str_mv | 20231114 |
| dc.description.abstract.none.fl_txt_mv | 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. |
| dc.identifier.citation.es.fl_str_mv | 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 D-LA). Monte video, Uruguay, 3-5 set. 2012. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41157 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Power Engineering Society and IEEE Uruguay Section |
| dc.relation.ispartof.es.fl_str_mv | Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T D-LA). Montevideo, Uruguay, 2-5 set. 201|2 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | DC load flow Load shedding Genetic algorithm |
| dc.subject.other.es.fl_str_mv | Potencia |
| dc.title.none.fl_str_mv | Automatic load shedding calculated with genetic algorithms – DAC-CMAG |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_db0933d92d98c5595a62855c3db4c822 |
| identifier_str_mv | 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 D-LA). Monte video, Uruguay, 3-5 set. 2012. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/41157 |
| publishDate | 2012 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2023-11-14T17:04:34Z2023-11-14T17:04:34Z201220231114Guichon, 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 (TD-LA). Monte video, Uruguay, 3-5 set. 2012.https://hdl.handle.net/20.500.12008/41157This 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.Made available in DSpace on 2023-11-14T17:04:34Z (GMT). No. of bitstreams: 5 GMNVY12.pdf: 353917 bytes, checksum: 0ad526505c7d7f684412127b6e1c45f5 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2012enengPower Engineering Society and IEEE Uruguay SectionSixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (TD-LA). Montevideo, Uruguay, 2-5 set. 201|2Las 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)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)DC load flowLoad sheddingGenetic algorithmPotenciaAutomatic load shedding calculated with genetic algorithms – DAC-CMAGPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaGuichon, MichelleMelo, MagdalenaNieto, Ana CarolinaVignolo, MarioYedrzejewski, NicolásPotenciaRedes EléctricasLICENSElicense.txttext/plain4194http://localhost:8080/xmlui/bitstream/20.500.12008/41157/5/license.txt7f2e2c17ef6585de66da58d1bfa8b5e1MD55CC-LICENSElicense_textapplication/octet-stream21936http://localhost:8080/xmlui/bitstream/20.500.12008/41157/2/license_text9833653f73f7853880c94a6fead477b1MD52license_urlapplication/octet-stream49http://localhost:8080/xmlui/bitstream/20.500.12008/41157/3/license_url4afdbb8c545fd630ea7db775da747b2fMD53license_rdfapplication/octet-stream23148http://localhost:8080/xmlui/bitstream/20.500.12008/41157/4/license_rdf9da0b6dfac957114c6a7714714b86306MD54ORIGINALGMNVY12.pdfapplication/pdf353917http://localhost:8080/xmlui/bitstream/20.500.12008/41157/1/GMNVY12.pdf0ad526505c7d7f684412127b6e1c45f5MD5120.500.12008/411572024-08-01 18:18:47.107oai:colibri.udelar.edu.uy:20.500.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://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestmabel.seroubian@seciu.edu.uyUruguayopendoar:47712024-08-13T03:00:57.865708COLIBRI - Universidad de la Repúblicafalse |
| spellingShingle | Automatic load shedding calculated with genetic algorithms – DAC-CMAG Guichon, Michelle DC load flow Load shedding Genetic algorithm Potencia |
| status_str | publishedVersion |
| title | Automatic load shedding calculated with genetic algorithms – DAC-CMAG |
| title_full | Automatic load shedding calculated with genetic algorithms – DAC-CMAG |
| title_fullStr | Automatic load shedding calculated with genetic algorithms – DAC-CMAG |
| title_full_unstemmed | Automatic load shedding calculated with genetic algorithms – DAC-CMAG |
| title_short | Automatic load shedding calculated with genetic algorithms – DAC-CMAG |
| title_sort | Automatic load shedding calculated with genetic algorithms – DAC-CMAG |
| topic | DC load flow Load shedding Genetic algorithm Potencia |
| url | https://hdl.handle.net/20.500.12008/41157 |
