An Adaptive Load-Frequency Controller for Interconnected Power Systems Combining Model Predictive Control and System Identification

This paper introduces a new adaptive load frequency control method based on model predictive control using an improved unscented Kalman filter. This research aims to design a robust controller for changes in the frequency characteristic of power systems. An adaptive model predictive controller with online updating of the predictive model is designed to reproduce the fundamental frequency characteristics of the target system. A simplified predictive model is identified in the preliminary investigations of the closed-loop performance of the power system. Then, the parameters of this model are estimated according to real-time measurements. In addition, the control sequence is approximated using Laguerre functions, which helps to reduce the computational load further. A three-zone test system in the presence of generation rate constraint and dead-band is considered for simulation to prove the effectiveness of the proposed scheme. The simulation results show that the proposed adaptive control scheme can successfully stabilize frequency deviations caused by load disturbances and is robust against parameter uncertainties.