Adaptive model predictive based load frequency control in an interconnected power system

Adaptive model predictive control (AMPC) as a load frequency controller (LFC) in a multi-area power system has been proposed in this paper. The main objective of this research is to overcome the problems of frequency deviation against system parameters variations and load distuirbance. The idea of using AMPC is to vary the plant model in the structure of MPC on line to overcome the uncertainty due to governor and turbine parameters variation. In addition, The MPC technique is designed such that the effect of the load disturbance is reduced. The full model parameters of the system have been estimated using online estimation model based on Recursive Polynomial Model Estimator (RPME). Moreover, the output of the RPME estimator is used to online updating of the internal model of the AMPC. The online estimation is to achieve accurate and precise control with nonlinear control systems. A digital simulation has been used to investigate the effecinecy of the proposed scheme. Simulation results prove that, the application of the suggested AMPC with the control system results a robust aginst parameters uncertainties and loads disturbances. A comparison between the proposed technique and other schemes is carried out, confirming the superiority of the proposed algorithm.