DocumentCode
1612689
Title
Short-term wind farm power forecasting with numerical weather prediction
Author
Sperandio, M. ; Ferreira, A.A.B. ; Moraes, M.R. ; Goulart, A.G.O.
Author_Institution
UNIPAMPA, Alegrete, Brazil
fYear
2013
Firstpage
444
Lastpage
449
Abstract
The deployment of wind farms in Brazil is beginning to affect the planning and scheduling of energy operation, mainly in south and northeast subsystems. As the wind is shifting, which can vary significantly even in a small interval of time, the System Operator must be prepared to act in the dispatch orders of the other sources. This paper presents a methodology for assessing meteorological and geographical data to measure the wind field in the turbine hub height, allowing to calculate the instantaneous electric power produced. This estimate can be extended to various points and times of day in order to monitor the variation of wind caused by climatic effects. The climatic variables are submitted to the California Meteorological Model (CALMET) to calculate wind fields in a three-dimensional mesh with a good assertiveness in the short term. Then, the forecast is used with the wind turbine model to obtain the electric power generated for a few hours ahead. With this result the System Operator can perform a more precise coordination of the hydrothermal short term dispatch, as well as the operative power reserve dimensioning.
Keywords
climatology; geophysics computing; mesh generation; power engineering computing; power generation dispatch; power generation planning; power generation scheduling; power system measurement; weather forecasting; wind power plants; wind turbines; Brazil; CALMET; California Meteorological Model; climatic effects; climatic variables; dispatch orders; energy operation planning; energy operation scheduling; geographical data assessment methodology; hydrothermal short term dispatch coordination; instantaneous electric power calculation; meteorological data assessment methodology; northeast subsystem; numerical weather prediction; operative power reserve dimensioning; short-term wind farm power forecasting; south subsystem; system operator; three-dimensional mesh; turbine hub height; wind farm deployment; wind field measurement; wind turbine model; wind variation monitoring; Atmospheric modeling; Mathematical model; Predictive models; Wind farms; Wind forecasting; CALMET; Operation Planning; Wind Forecast; Wind Generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location
Istanbul
ISSN
2155-5516
Type
conf
DOI
10.1109/PowerEng.2013.6635648
Filename
6635648
Link To Document