Distributed Model Predictive Control Employing Trajectory Sensitivities for Cascading Failures

The paper introduces a new distributed model predictive control (DMPC) method employing trajectory sensitivities for the cascading failures of the complex power system. Firstly, it predictes the trajectories of the system by trajectory sensitivities. Secondly, it uses the MPC to find out the optimization control method, and activates it to eliminate the cascading failures of the large-scale power system. It simplifys the DMPC employing the trajectory sensitivities optimization control algorithms.