Output Power Enhancement of VSWT Using Fuzzy Logic-Based MPPT Algorithm

Wind energy is known to be the most promising renewable energy resources present on the earth. It is necessary to operate the WECS at optimal conditions so that we can achieve maximum output from the system. For this, many MPPT algorithms have been used till date. The maximum power point tracking-based controller is usually employed for regulating the speed of the generator such that the power coefficient of the Wind Turbine is maximized when the wind speed is lesser than the rated wind speed. In this paper, we represented perturb and observe algorithm (also known as HCS) based FL control for Doubly Fed Induction Generator (DFIG). It is unrealistic to calculate the turbine power and the turbine speed instantly. Fuzzy Logic can be used where exact estimation of something is not reliable. It trains our data according to the measurable input and provides the most efficient output. This control method gives us the optimum generator speed, at which if we make our generator to operate, it will maximize the total produced power by the generator.