Artificial Neural Network-Based Control Strategy for Grid-Integrated PV-HESS

This paper is to present the design of  the neural network based TID controller applicable to static VAR compensator (SVC) on two machine 3-bus  transmission system to improve the transient stability when sudden disturbances occur in transmission system. i.e three phase fault. The power system network considered is to simulated using phasor simulation method. Comparisons regarding stability are done for the system without controller, PI controller, TID controller and Neural Network based TID controller. Simulation results show that the proposed Adaptive Neural network based TID controller was effective in reducing power system oscillations compared to other controllers.