Abstract:
This thesis addresses model predictive controller (MPC) as an effective solution for improving
the oscillations in a single machine infinite bus (SMIB) power system connected with a FACTS
device named unified power flow controller (UPFC). UPFC is mainly used in the transmission
systems which can control the power flow by controlling the voltage magnitude, phase angle and
impedance. Linearized model of UPFC connected with SMIB system is modeled by five state
equations. System oscillations of the plant are attempted to be controlled with power system
stabilizer (PSS) and proportional integral (PI) controller. MPC was introduced to damp out the
oscillations to improve the performances those of obtained using PSS and PI controller. As a
controller, MPC not only provides the optimal control inputs, but also predicts the system model
outputs to reach the desired goal. So, model predictive unified power flow controller (MPUPFC),
a combination of UPFC and MPC along with proper system model parameters can provide a
satisfactory performance in damping out the system oscillations in order to obtain a stable
system. Simulation is done in Matlab simulation software. Responses are shown for four
different states controlling four different control signals of UPFC
