Título:
VATES. Optimal operation of power systems with consideration of production forecasts in systems with high wind and solar penetration
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Compilador:
Autor:
Caporale, Ximena
Vallejo, Damián
Chaer, Ruben
Vallejo, Damián
Chaer, Ruben
Tutor:
Tipo de documento:
Ponencia
Editor:
Palabras clave:
Wind and solar integration
Optimal operation of power systems
Modeling and simulation
Electrical generation forecast
Optimal operation of power systems
Modeling and simulation
Electrical generation forecast
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Año de publicación:
2018
Contenido:
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
Descripción:
Publicado también en Renewable Energy and Power Quality Journal (RE
PQJ) ISSN 2172-038 X, No.16 April 2018
PQJ) ISSN 2172-038 X, No.16 April 2018
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EN:
International Conference on Renewable Energies and Power Quality (ICREPQ’18) Salamanca, España., 21-23 Mar, 2018
Financiadores:
Citación:
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.
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Departamento académico:
Potencia
Grupo de investigación:
Energía Eléctrica
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| CBC2018.pdf | — | 1.69 MB | Adobe PDF |