Fuzzy logic controller-based power control of DFIG based on wind energy systems

Using renewable energy sources is the best alternative to fossil fuels for our energy needs because they are constantly renewed in nature, and we often call them green energy technologies because they produce little or no pollution. Today's most widely used renewable energy sources are solar power, hydroelectricity, biomass, geothermal energy, and wind power. The widespread use of wind turbines has prompted electrical engineering researchers to improve this transition and the quality of the power supply, as this is the most promising energy source for our needs. To increase the efficiency of wind power systems, points need to be exploited more closely. Maximum power, therefore, requires using maximum power point trackers (MPPT), which, by optimizing power output, are crucial to wind power systems. Our work aims to apply fuzzy logic control to continuously and independently control the reactive and active power generated by the Doubly-fed induction generator (DFIG) of the flow-oriented wind power system.