Title :
Study on the wind speed frequency distribution with AR-GARCH model
Author :
Wang, F. ; Liu, D.Y. ; Zeng, L.H. ; Chen, S.L. ; Zhou, L.
Author_Institution :
Coll. of Water Conservancy & Hydropower Eng., Hohai Univ., Nanjing, China
Abstract :
The main existing mathematical models that describe wind speed frequency distribution were introduced in this paper, and the characteristics and limitations of each model were analyzed. Then, based on the considerations of the actual wind speed frequency distribution features, AR-GARCH model was adopted here in order to fully reflect the randomicity and wave character of the wind speed varied with time, which can effectively avoid large fitting errors in low-speed and zero-speed zone existing in current-used models, especially for those distribution curves with multiple peaks, and has the most strong universal applicability. Finally, the validity and correctness of the simulation method using AR-GARCH model were verified by the calculation and analysis of three typical engineering projects.
Keywords :
autoregressive processes; wind power plants; AR-GARCH model; current-used models; generalized autoregressive conditional heteroskedasticity; mathematical models; wind farms; wind speed frequency distribution; Educational institutions; Frequency; Hydroelectric power generation; Mathematical model; Power generation economics; Probability density function; Water conservation; Weibull distribution; Wind farms; Wind speed; AR-GARCH Models; Weibull Models; Wind Resource Assessment; Wind Speed Frequency Distribution; Wind farms;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5348087