Title :
On the selection of wind turbine generator based on ARMA time series
Author :
Askari, M.T. ; Ab Kadir, M.Z.A. ; Hizam, H. ; Jasni, J.
Author_Institution :
Electr.& Electron. Dept., Univ. Putra Malaysia, Serdang, Malaysia
fDate :
May 30 2013-June 1 2013
Abstract :
By increasing the global warming and environmental challenges the industrial countries commit to reduce the gas emissions and develop the renewable energy based on the Kyoto protocol and also renewable portfolio standard (RPS). Among them, wind resources are more important because of the progress in the technology of its facilities to convert wind to electricity. Wind turbines manufacturer companies improve the efficiency of their facilities during the last decade. On the other hand, the wind generator firms and investors intend to select a suitable wind turbine generators (WTGs) based on the wind distribution in a specific region. In this study, Output power (MW) of four different types of WTGs has been compared. The wind speed data has been collected for 10 years from 2000 to 2009 from Canada Swift Current region. Then, the model of wind speed has been predicted with ARMA time series. In the next stage, the output power of each WTG has been determined with probability method. Finally, the suitable WTG is recommended according to the output power produced.
Keywords :
autoregressive moving average processes; time series; turbogenerators; wind power plants; wind turbines; ARMA time series; Canada Swift current region; Kyoto protocol; RPS; WTG; global warming; probability method; renewable energy; renewable portfolio standard; wind speed data; wind turbine generator selection; Electricity; Mathematical model; Time series analysis; Wind power generation; Wind speed; Wind turbines; ARMA time series; Renewable Energy; WTG;
Conference_Titel :
Sustainable Utilization and Development in Engineering and Technology (CSUDET), 2013 IEEE Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4673-4689-4
DOI :
10.1109/CSUDET.2013.6670982