DFIG based Power Generation Under Variable Wind Speed Using Fuzzy Controller

The utilization of fossil fuels peaked worldwide after the Industrial Revolution. Two significant issues have emerged in recent years: the depletion of fossil fuel reserves and concerns regarding energy security and global warming. In response, a strategic shift towards electricity generation using grid-connected wind systems has been proposed. Efficient power electronic converters with intelligent controllers are essential for harnessing wind power effectively. Fuzzy logic controllers (FLCs) have garnered attention for inverter controller design in wind power generation. Thus, an intelligent fuzzy logic controller is developed to optimize peak 10KW power generation from a wind-based Doubly Fed Induction Generator (DFIG) unit. Two fuzzy controllers are devised for the rotor current converter to regulate the direct axis (d-axis) and quadrature axis (q-axis) components of the rotor current, enabling control over the active and reactive power generated by the DFIG-based wind energy system. The proposed design is simulated using Matlab Simulink 2018b, and the system’s performance is analyzed under various operating conditions. Finally, the system’s effectiveness is evaluated against IEEE 1547 standards to demonstrate its performance.