Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya
Resumen:
Renewable energies are revolutionizing the market and electrical networks. These changes present a challenge for all agents of the electrical system; in particular, for those who want to predict or plan the state of the electrical network in the future. In recent years, the intermittent nature of these energy sources has become a planning problem that many have tried to solve, proposing different methods. Since 2013, UTE, the national electricity company of Uruguay, has been implementing algorithms to solve the probabilistic load flow calculation based on the Monte Carlo method. In this work, the use of Point Estimation is proposed, an alternative method faster than Monte Carlo, although less precise, and which has a strong support in recent scientific publications. A real application of the Point Estimation algorithm to the Uruguayan network is presented and it is compared with the classic Monte Carlo Method. The results on the Uruguayan system are promising, showing that the method allows to capture the general performance of the system in a time at least one order less than Monte Carlo.
| 2020 | |
| ANII_FSE_1_2018_1_153061 | |
|
Estimation theory Load flow Monte Carlo methods Power transmission planning Probability Renewable energy sources |
|
| Español | |
| Universidad de la República | |
| COLIBRI | |
|
https://ieeexplore.ieee.org/document/9326163
https://hdl.handle.net/20.500.12008/33980 |
|
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522899428376576 |
|---|---|
| author | Scopelli, Vittorio |
| author2 | Pena, Pablo |
| author2_role | author |
| author_facet | Scopelli, Vittorio Pena, Pablo |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Scopelli Vittorio, Universidad de la República (Uruguay). Facultad de Ingeniería. Pena Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.creator.none.fl_str_mv | Scopelli, Vittorio Pena, Pablo |
| dc.date.accessioned.none.fl_str_mv | 2022-09-27T12:36:36Z |
| dc.date.available.none.fl_str_mv | 2022-09-27T12:36:36Z |
| dc.date.issued.none.fl_str_mv | 2020 |
| dc.description.abstract.none.fl_txt_mv | Renewable energies are revolutionizing the market and electrical networks. These changes present a challenge for all agents of the electrical system; in particular, for those who want to predict or plan the state of the electrical network in the future. In recent years, the intermittent nature of these energy sources has become a planning problem that many have tried to solve, proposing different methods. Since 2013, UTE, the national electricity company of Uruguay, has been implementing algorithms to solve the probabilistic load flow calculation based on the Monte Carlo method. In this work, the use of Point Estimation is proposed, an alternative method faster than Monte Carlo, although less precise, and which has a strong support in recent scientific publications. A real application of the Point Estimation algorithm to the Uruguayan network is presented and it is compared with the classic Monte Carlo Method. The results on the Uruguayan system are promising, showing that the method allows to capture the general performance of the system in a time at least one order less than Monte Carlo. |
| dc.description.es.fl_txt_mv | Presentado y publicado en IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct., pp. 1-6. |
| dc.description.sponsorship.none.fl_txt_mv | ANII_FSE_1_2018_1_153061 |
| dc.format.extent.es.fl_str_mv | 6 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Scopelli, V. y Pena, P. Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya [Preprint]. Publicado en : IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct. 6 p. DOI: 10.1109/TDLA47668.2020.9326163. |
| dc.identifier.uri.none.fl_str_mv | https://ieeexplore.ieee.org/document/9326163 https://hdl.handle.net/20.500.12008/33980 |
| dc.language.iso.none.fl_str_mv | es spa |
| 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 | Estimation theory Load flow Monte Carlo methods Power transmission planning Probability Renewable energy sources |
| dc.title.none.fl_str_mv | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Presentado y publicado en IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct., pp. 1-6. |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_c7ac3f37a5009d28db14a5717832bc82 |
| identifier_str_mv | Scopelli, V. y Pena, P. Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya [Preprint]. Publicado en : IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct. 6 p. DOI: 10.1109/TDLA47668.2020.9326163. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | spa |
| language_invalid_str_mv | es |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/33980 |
| publishDate | 2020 |
| 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 | Scopelli Vittorio, Universidad de la República (Uruguay). Facultad de Ingeniería.Pena Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.2022-09-27T12:36:36Z2022-09-27T12:36:36Z2020Scopelli, V. y Pena, P. Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya [Preprint]. Publicado en : IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct. 6 p. DOI: 10.1109/TDLA47668.2020.9326163.https://ieeexplore.ieee.org/document/9326163https://hdl.handle.net/20.500.12008/33980Presentado y publicado en IEEE T&D LA 2020, Montevideo, Uruguay, 28 sep-2 oct., pp. 1-6.Renewable energies are revolutionizing the market and electrical networks. These changes present a challenge for all agents of the electrical system; in particular, for those who want to predict or plan the state of the electrical network in the future. In recent years, the intermittent nature of these energy sources has become a planning problem that many have tried to solve, proposing different methods. Since 2013, UTE, the national electricity company of Uruguay, has been implementing algorithms to solve the probabilistic load flow calculation based on the Monte Carlo method. In this work, the use of Point Estimation is proposed, an alternative method faster than Monte Carlo, although less precise, and which has a strong support in recent scientific publications. A real application of the Point Estimation algorithm to the Uruguayan network is presented and it is compared with the classic Monte Carlo Method. The results on the Uruguayan system are promising, showing that the method allows to capture the general performance of the system in a time at least one order less than Monte Carlo.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2022-09-26T18:14:04Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) SP20.pdf: 430260 bytes, checksum: 1e5bf77c1b10fb1cb031e158c2e370d1 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2022-09-26T18:56:08Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) SP20.pdf: 430260 bytes, checksum: 1e5bf77c1b10fb1cb031e158c2e370d1 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2022-09-27T12:36:36Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) SP20.pdf: 430260 bytes, checksum: 1e5bf77c1b10fb1cb031e158c2e370d1 (MD5) Previous issue date: 2020ANII_FSE_1_2018_1_1530616 p.application/pdfesspaLas 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)Estimation theoryLoad flowMonte Carlo methodsPower transmission planningProbabilityRenewable energy sourcesAplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguayaPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaScopelli, VittorioPena, PabloLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/33980/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/33980/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya Scopelli, Vittorio Estimation theory Load flow Monte Carlo methods Power transmission planning Probability Renewable energy sources |
| status_str | submittedVersion |
| title | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya |
| title_full | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya |
| title_fullStr | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya |
| title_full_unstemmed | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya |
| title_short | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya |
| title_sort | Aplicación del método Point Estimation para el cálculo de flujo de carga probabilístico en la red de transmisión uruguaya |
| topic | Estimation theory Load flow Monte Carlo methods Power transmission planning Probability Renewable energy sources |
| url | https://ieeexplore.ieee.org/document/9326163 https://hdl.handle.net/20.500.12008/33980 |
