DocumentCode :
614857
Title :
Short-term wind power forecast for economic dispatch
Author :
Marzbani, Fatemeh ; Osman, Ahmed ; Hassan, Mehdi ; Landolsi, Taha
fYear :
2013
fDate :
28-30 April 2013
Firstpage :
1
Lastpage :
6
Abstract :
Integration of wind power generation with existing power systems requires accurate forecasting of wind power due to its intermittent nature. Accurate wind power forecast can help system operators to include wind power in economic dispatch and unit commitment problems. In this paper, a simple window-based, adaptive-parameter regression model for short-term wind power forecasting that can be used in system operation is developed. In order to assess the accuracy of the forecasted wind power, the output of the prediction is used to solve the economic dispatch problem using a genetic algorithm (GA) technique.
Keywords :
genetic algorithms; power generation dispatch; power generation economics; wind power plants; GA technique; adaptive-parameter regression model; economic dispatch; genetic algorithm technique; power systems; short-term wind power forecast; unit commitment problems; wind power generation; window-based model; Autoregressive processes; Economics; Genetic algorithms; Mathematical model; Predictive models; Time series analysis; Wind power generation; Economic Dispatch; Renewable Energy; Time-Series Analysis; Wind Energy; Wind Power Forecast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5812-5
Type :
conf
DOI :
10.1109/ICMSAO.2013.6552682
Filename :
6552682
Link To Document :
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