Fuzzy logic principles for wind speed estimation in wind energy conversion systems

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.