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
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;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635648