Design and Implementation of Type-2 Fuzzy Logic Controller for DFIG-Based Wind Energy Systems in Distribution Networks

Handling the uncertainties in the wind speed and the grid disturbances is a major challenge to the DFIGs to fulfill the modern grid code requirements. This paper proposes the design and implementation of a novel control strategy using interval type-2 fuzzy sets for grid integration of doubly fed induction generator (DFIG) based wind turbines. The presence of third dimension in the type-2 membership function offers an additional degree of freedom in the design of the proposed controller to contribute to power oscillations damping and voltage recovery following parameter uncertainties in the network. The vector control with proposed strategy for DFIG is able to handle uncertainties in the operating conditions of the distributed network like faults, load changes, and wind speed. The performance of the controller is evaluated by connecting the wind turbine to IEEE 34-bus test system considering the various uncertainties. The real time simulations are carried out using real time digital simulator (RTDS) with hardware in loop (HIL) configuration to support the feasibility of the controller for real time applications.