Title :
Wind Turbines Capacity Factor Modeling—A Novel Approach
Author :
Albadi, M.H. ; El-Saadany, E.F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
This letter presents a new formulation for wind turbine capacity factor using wind speed characteristics at any site and the turbine power curve parameters. When compared to the previous model, the proposed formulation is simpler and more accurate and results in a better turbine design for optimum turbine-site matching.
Keywords :
Weibull distribution; wind power; wind turbines; optimum turbine-site matching; turbine power curve parameters; wind power; wind speed characteristics; wind turbines capacity factor modeling; Capacity factor; turbine-site pairing; wind power;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2009.2023274