SVPWM: Torque Level Controlling of Wind Turbine System Using Fuzzy and ABC-DQ Transformation

Wind energy conversion systems employ the doubly fed induction generator (DFIG) for maximum energy capture. Many traditional systems used pulse width modulation (PWM) technique to control the DFIG block by a feedback from the load terminal. PWM schemes generate the control pulses for an inverter switches. An independent activation of the wind turbine generator does not offer optimum result. This paper presents the fuzzy-based PWM controlling of wind turbine system in DFIG to provide an optimum result. According to the torque level and the rotation speed of wind turbine, the speed of the generator is controlled to maintain voltage regulation at load side. The integration of ABC-direct quadrature transformation based on the fuzzy rule generates the necessary control signals for gates. To control the operation of multilevel converters, an enhanced phase differential space vector PWM modulation (EPD-SVPWM) is implemented in this paper. The transfer function for maintenance of the reduced level of ripples in inverter switching circuit included in the modification of SVPWM lead to high-speed switching of the insulated gate bipolar transistor (IGBT). Consequently, it results in a low error rate and regulated power at load side. The experimental results exhibit better performance regarding dynamic voltage variation impact, and output voltage level at load side than the existing methods.