H∞ optimal filtering and control of wind energy conversion systems

This paper presents a reduced-order H_∞ optimal control for wind energy conversion systems. Two different timescale (slow and fast) dynamics of wind energy conversion systems are separated and processed independently using the singular perturbation theory. By using the decomposition technique, low-order, independent H_∞ optimal filters and controllers are obtained, which provide computational advantages and enable implementations with different sampling rates. The control robustness and efficiency are shown by computer simulations.