Resilient Wide-Area Damping Control to Mitigate Sparse Attack Using Robust Subspace Tracking

Wide-area damping control is threatened by increasing cyber attacks, and its damping performance cannot be guaranteed when wide-area signals are tampered with. This paper proposes a robust subspace tracking (RST) based resilient wide-area damping control framework to mitigate sparse attack. Leveraging the low rank characteristics of power system measurement signals and the sparsity of attacks, the separation of attacks is transformed into a compressed sensing problem, which is solved using RST algorithm. The RST algorithm comprises two key components: robust principal component analysis (RPCA) and subspace tracking (ST). RPCA is employed for the real-time detection of attacks and data recovery, while ST is responsible for the continuous updating of the subspace, making RPCA adaptable to various operating conditions. A data pre-processor, based on the RST algorithm, is developed to identify attacks and recover wide-area signals. The pre-processor can be integrated with existing wide-area damping controllers to create a resilient control framework. Numerical results from a modified IEEE 16-machine 68-bus system demonstrate the feasibility of the proposed framework under both transient and ambient scenarios.