Decentralized Stochastic Disturbance Observer-Based Optimal Frequency Control Method for Interconnected Power Systems with High Renewable Shares

This article proposes a novel, disturbance observer-based decentralized frequency control method for interconnected power systems. The method employs extended Kalman filter (EKF) as an observer to estimate inaccessible dynamic states of the system, including the total disturbance as one of the state variables. An optimal decentralized disturbance observer based controller is suggested for multiarea power systems that compensates the estimated disturbance and further based on minimizing the joint error energies of state estimation error and state tracking error provides its value to the controller for regulating the frequency variation. The proposed method is mathematically designed to be robust against parametric and nonparametric uncertainties. The efficacy and accuracy of the proposed control method is verified considering different types of practical operation scenarios. The results confirm the brilliant and superiority of the proposed method in controlling the frequency in power systems with high renewable shares.