Monitoring of Wind Energy Conversion System by on Dimensional Adaptive Tuning Fuzzy Logic Controller

The maximum power point tracking algorithm in wind power system design is considered an important point, to increase the efficiency of wind turbines power, in addition to regulating the voltage and frequency loops, energy must be extracted from the wind very efficiently, so it is necessary to design an effective control strategy. This paper presents an adaptive tuning structure, for capturing the maximum power points of controlling the wind energy conversion system, according to a permanent magnet synchronous generator. The optimum rotational speed of the generator is obtained utilizing the tip speed ratio strategy. Maximum power extracted at each wind speed is maintained, using a dimensional fuzzy logic control (DFLC) that is applied to the machine side converter. Adaptive DFLC controller is used in complex non-linear systems. The new control adopts two ideas, first to locate system states to a specific region in the form of calculating dimensional (distances, surface), then to design a fuzzy control law that will maintain the system in this zone. To confirm the efficiency and reliability of the suggested adaptive control, a simulation was executed using the MATLAB/Simulink program. The results showed the superiority of the new control as it was observed that the control can extract maximum power under variations of the wind speed profile, through its response speed and settling time. The paper contains extensive results.