Stability Control of Doubly Fed Induction Generator Using Genetic Heuristic (GH) Controller for Wind Farm

In this paper, a Genetic Heuristic Controller (GHC) used to improve the transient stability of the doublyfed induction generator based wind farm under fault conditions. The proposed controller builds on GHC controller to evaluate the optimized values in the nonlinear system. The stability of the system is based on the interaction between the controller and the power plant. Compared to existing approaches with one action network and one critic network, our Genetic Heuristic architecture introduced to improve the effective, stable system. This work presents a new coordinated control strategy for DFIG (Doubly Fed Induction Generator).The coordination of rotor side converter and grid side converter will be achieved by GA controller by this the fault is ride-through using the crowbar-based systems. The effectiveness of the proposed approach is tested and investigated a DFIG system with high wind penetration and a static synchronous compensator. Matlab simulation analysis and comparative studies with traditional GHC approaches are presented to demonstrate the superior performance of our method.