Model predictive control for transient frequency regulation of power networks

This paper introduces a control strategy to simultaneously achieve asymptotic stabilization and transient frequency regulation of power networks. The command is generated by iteratively solving an open-loop cost minimization problem with stability constraints. To deal the non-convexity constraint, we propose convexification that uses reference trajectory based on system’s current state. We also employ network partitions implement proposed in distributed way, where each region only requires system information from its own execute controller.