Stability Enhancement for Transmission Lines using Neural Network in Static Synchronous Series Compensator

In this paper, a Static Synchronous Series Compensator (SSSC) is used to investigate the effect of this device in controlling active and reactive powers as well as damping power system oscillations in transient mode. During the analyzing its found that the SSSC based power oscillation damping system cannot able to sustain the power oscillations neither alone nor with lead-leg POD controller, so this work proposes SSSC structure equipped with the neural network controller to efficiently sustain the power oscillations. SSSC has a source of energy in the DC link which can supply or absorb the reactive and active power to or from the line with additional Neural Network Controller to enhance power quality in greater instant as compare to SSSC system. Complete Simulations have been done in MATLAB/SIMULINK environment. Results of Simulation obtain for bus-2 in three phase 500 KV transmission line system shows the higher accuracy of this proposed SSSC with neural network controller is achieving the desired value for active and reactive powers, controlling power flows, and damping oscillations properly