Robust Cooperative Load-Frequency Tracking Protocols for Leader-Follower Smart Power Grid Networks With Uncertainty

This paper introduces consensus based leader-follower robust cooperative load frequency tracking control(LFTC) protocols for multi-area smart power grid networks. The LFC protocols combines local states with the states of the neighboring areas with directed communication topology. We first develop Robust LFTC protocols by assuming that the bounds of the uncertainty associated with power network dynamics and disturbance are known a priori. Lyapunov and graph theory used to show the finite-time convergence of the states of the follower control area power grid networks to the states of the leader control area. Then, we relax the demand of the bound on the uncertainty from LFTC protocols by integrating a robust adaptive learning algorithms. Robust adaptive learning control uses to deal with the presence of uncertainty associated with the power grid networks and disturbance. Convergence analysis of the closed-loop multi-area power grid networks are shown by using Lyapunov and graph theory. Analysis shows that the states of the follower control areas can reach an agreement and track the states of the leader control area asymptotically. Evaluation results on a four-area interconnected power grid networks are presented to show the effectiveness of the proposed consensus based distributed robust LFTC protocols for real-time applications.