An intelligent maximum power extraction algorithm for hybrid wind–diesel-storage system

This paper focuses on the development of maximum wind power extraction algorithms for variable speed wind turbines in hybrid wind–diesel storage system (HWDSS). The propose algorithm utilizes Takagi–Sugeno (T–S) fuzzy controller. This algorithm combines the merits of: (i) the capability for dealing with nonlinear systems; (ii) the powerful LMI approach to obtain control gains; (iii) the high performance of integral controller. The algorithm maximizes the power coefficient for a fixed pitch and suddenly load changes. Moreover, it reduces the voltage ripple and stabilizes the system over a wide range of wind speed variations. The control scheme is tested for different real profiles of wind speed pattern and provides satisfactory results.