A real-time wide-area excitation control to enhance transient and oscillatory stabilities

A real-time control scheme based on wide-area measurements and excitation control of generators is introduced in this paper. The wide-area measurements are preprocessed in a central unit. The processed data are then used by stability agents which are decentralized and autonomous. The goals of these controllers are to stabilize the system after severe disturbances and mitigate the oscillations afterward. A reinforcement learning algorithm is used to design the controllers. The proposed method extends the stability boundary of the system and achieves the above goals without losing any generator or load area and without any knowledge of the disturbances causing the response. The effectiveness of the proposed control scheme is illustrated through case studies on the IEEE 39-bus power system.