Power Curve Based-Fuzzy Wind Speed Estimation in Wind Energy Conversion Systems
Agus Naba and Ahmad Nadhir
Study Program of Instrumentation, Department of Physics, Faculty of Mathematics and Natural Sciences, University of Brawijaya
Jl. Veteran, Malang, East Java 65145, Indonesia
Availability of wind speed information is of great importance for maximization of wind energy extraction in wind energy conversion systems. The wind speed is commonly obtained from a direct measurement employing a number of anemometers installed surrounding the wind turbine. In this paper a sensorless fuzzy wind speed estimator is proposed. The estimator is easy to build without any training or optimization. It works based on the fuzzy logic principles heuristically inferred from the typical wind turbine power curve. The wind speed estimation using the proposed estimator was simulated during the operation of a squirrel-cage induction generator-based wind energy conversion system. The performance of the proposed estimator was verified by the well estimated wind speed obtained under the wind speed variation.
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