This paper presents a decentralized Model
Predictive Control (MPC) for Automatic Generation Control
(AGC) of a realistic multi power system in Egypt with inherent
nonlinearities. The Egyptian Power System (EPS) is
decomposed into three dynamic subsystems which are nonreheat,
reheat, and hydro power plants. Moreover, each
subsystem has its private characteristics compared to the
others. Therefore, each subsystem controller has been
designed independently to guarantee the stability of the overall
closed loop system. Hence, MPC is proposed for every
subsystem separately to regulate the frequency and to track
the load demands of EPS. The performance of the proposed
decentralized MPC of each subsystem is compared with the
centralized one at different operational scenarios. The results
by nonlinear simulation MATLAB/SIMULINK for the
generation control of EPS approves that the decentralized
predictive model gives almost the same performance as the
centralized one. However, the centralized model cannot
address the large load disturbance and system parameters
variation. In contrast, the decentralized MPC scheme is more
robust and effective against all disturbances and operating
conditions.