Damping sub-synchronous oscillations of power system using ANN-based controlled SVC

Power system oscillation damping, have always been an undeniable problem for engineers. In this paper we try to show that a supplementary lead-lag controller using wide area signals can greatly decrease the oscillations, because the global signals involve more wide-area oscillation modes. Parameters of this damping lead-lag controller are obtained by phase compensation method. Then an artificial neural network (ANN) is implemented to calculate the damping controller´s gain. To validate the proposed controller, computer simulation using MATLAB/ SIMULINK is performed on a 2-area, 4- machine test system. The results show that using a well-trained ANN in proposed method, can clearly improve the damping of sub-synchronous oscillations.