VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration
Resumen:
From 2010 many countries are changing their power generation mix from hydro and fuel-fired generators to hydro, wind and solar energy. In Uruguay's case, in the first quarter of 2017, the installed wind capacity exceeded the average energy load. Uruguay is an example of a working system with a great amount of Variable Energy Resources (VER). This work shows how the optimal operation of the system is programmed on a weekly, daily and hourly basis to deal with the VER. The way the forecast of the wind, solar and hydro resources availability are considered and how these uncertainties are used to generate a Spot Signal Price (SSP) that may be used to implement a Demand Response pricing scheme is shown. The developed tool is called VATES and it is running continuously on ADME's servers. The forecast of the dispatch for the next 72 hours is continuously available at http://vates.adme.com.uy
| 2018 | |
|
Wind and solar integration Optimal operation of power systems Modeling and simulation Electrical generation forecast |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/47028 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1877555076722065408 |
|---|---|
| author | Caporale, Ximena |
| author2 | Vallejo, Damián Chaer, Ruben |
| author2_role | author author |
| author_facet | Caporale, Ximena Vallejo, Damián Chaer, Ruben |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Caporale, Ximena Vallejo, Damián Chaer, Ruben |
| dc.date.accessioned.none.fl_str_mv | 2024-11-13T19:24:46Z |
| dc.date.available.none.fl_str_mv | 2024-11-13T19:24:46Z |
| dc.date.issued.es.fl_str_mv | 2018 |
| dc.date.submitted.es.fl_str_mv | 20241113 |
| dc.description.abstract.none.fl_txt_mv | From 2010 many countries are changing their power generation mix from hydro and fuel-fired generators to hydro, wind and solar energy. In Uruguay's case, in the first quarter of 2017, the installed wind capacity exceeded the average energy load. Uruguay is an example of a working system with a great amount of Variable Energy Resources (VER). This work shows how the optimal operation of the system is programmed on a weekly, daily and hourly basis to deal with the VER. The way the forecast of the wind, solar and hydro resources availability are considered and how these uncertainties are used to generate a Spot Signal Price (SSP) that may be used to implement a Demand Response pricing scheme is shown. The developed tool is called VATES and it is running continuously on ADME's servers. The forecast of the dispatch for the next 72 hours is continuously available at http://vates.adme.com.uy |
| dc.description.es.fl_txt_mv | Publicado también en Renewable Energy and Power Quality Journal (RE PQJ) ISSN 2172-038 X, No.16 April 2018 |
| dc.identifier.citation.es.fl_str_mv | Caporale, X, Vallejo, D, Chaer, R. "VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration" International Conference on Renewable Energies and Power Quality (ICREPQ’18) Salamanca, España., 21-23 Mar, 2018. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/47028 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.relation.none.fl_str_mv | International Conference on Renewable Energies and Power Quality (ICREPQ’18) Salamanca, España., 21-23 Mar, 2018 |
| 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 | Wind and solar integration Optimal operation of power systems Modeling and simulation Electrical generation forecast |
| dc.title.none.fl_str_mv | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration |
| 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 | Publicado también en Renewable Energy and Power Quality Journal (RE |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_e4c5fa80b1c4fb2a96bcb7c997b7fa05 |
| identifier_str_mv | Caporale, X, Vallejo, D, Chaer, R. "VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration" International Conference on Renewable Energies and Power Quality (ICREPQ’18) Salamanca, España., 21-23 Mar, 2018. |
| 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:20.500.12008/47028 |
| publishDate | 2018 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | karina.camps@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 | 2024-11-13T19:24:46Z2024-11-13T19:24:46Z201820241113Caporale, X, Vallejo, D, Chaer, R. "VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration" International Conference on Renewable Energies and Power Quality (ICREPQ’18) Salamanca, España., 21-23 Mar, 2018.https://hdl.handle.net/20.500.12008/47028Publicado también en Renewable Energy and Power Quality Journal (REPQJ) ISSN 2172-038 X, No.16 April 2018From 2010 many countries are changing their power generation mix from hydro and fuel-fired generators to hydro, wind and solar energy. In Uruguay's case, in the first quarter of 2017, the installed wind capacity exceeded the average energy load. Uruguay is an example of a working system with a great amount of Variable Energy Resources (VER). This work shows how the optimal operation of the system is programmed on a weekly, daily and hourly basis to deal with the VER. The way the forecast of the wind, solar and hydro resources availability are considered and how these uncertainties are used to generate a Spot Signal Price (SSP) that may be used to implement a Demand Response pricing scheme is shown. The developed tool is called VATES and it is running continuously on ADME's servers. The forecast of the dispatch for the next 72 hours is continuously available at http://vates.adme.com.uyMade available in DSpace on 2024-11-13T19:24:46Z (GMT). No. of bitstreams: 5 CBC2018.pdf: 1767204 bytes, checksum: ab7f01790d2d87ac7b927b573daf28ec (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2018enengInternational Conference on Renewable Energies and Power Quality (ICREPQ’18) Salamanca, España., 21-23 Mar, 2018Las 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)Wind and solar integrationOptimal operation of power systemsModeling and simulationElectrical generation forecastVATES. 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- Universidad de la Repúblicafalse |
| spellingShingle | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration Caporale, Ximena Wind and solar integration Optimal operation of power systems Modeling and simulation Electrical generation forecast |
| status_str | publishedVersion |
| title | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration |
| title_full | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration |
| title_fullStr | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration |
| title_full_unstemmed | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration |
| title_short | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration |
| title_sort | VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration |
| topic | Wind and solar integration Optimal operation of power systems Modeling and simulation Electrical generation forecast |
| url | https://hdl.handle.net/20.500.12008/47028 |
