DocumentCode :
1796017
Title :
Fuzzy logic principles for wind speed estimation in wind energy conversion systems
Author :
Naba, Agus
fYear :
2014
fDate :
7-8 Oct. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Availability of wind speed information is of great importance for wind energy conversion systems (WECS) to extract maximum energy from wind. Most controllers in WECS employ anemometers to measure wind speed. To obtain adequate wind speed information a number of anemometers is required and needs to be installed properly surrounding wind turbine. This paper presents fuzzy logic principles for estimation of wind speed on the center of the wind turbine. The principles are inferred heuristically from a typical wind turbine power curve. The proposed principles have been simulated to estimate the wind speed on the center of the wind turbine during the WECS operation. The simulation results show that the wind speed could be well estimated under the wind speed variations.
Keywords :
anemometers; fuzzy logic; velocity measurement; wind power plants; wind turbines; WECS; anemometers; fuzzy logic principles; wind energy conversion systems; wind speed estimation; wind speed information; wind speed measurement; wind speed variations; wind turbine power curve; Estimation; Fuzzy systems; Generators; Rotors; Wind energy; Wind speed; Wind turbines; Wind energy conversion system; fuzzy principles; power curve; wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Electrical Engineering (ICITEE), 2014 6th International Conference on
Conference_Location :
Yogyakarta
Print_ISBN :
978-1-4799-5302-8
Type :
conf
DOI :
10.1109/ICITEED.2014.7007939
Filename :
7007939
Link To Document :
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