Model predictive control design for load frequency control problem

Load Frequency Control (LFC) is a mechanism by which power generation and power demand are balanced.;Model Predictive Control (MPC) has been widely accepted as a viable control strategy in the process industry. It is a model based control strategy where an optimization procedure is performed in every sampling interval over a prediction horizon, yielding an optimal control action. The optimization criterion, or objective function, is chosen in such a way as to satisfy the controlled system dynamics and constraints, penalize system output deviation from the desired trajectory, and minimize control efforts. Furthermore, a possibility to incorporate economic objectives into the optimization criterion makes the MPC a good candidate for power system control.;The first objective of this thesis is an LFC controller design based on the MPC algorithm. The second objective is implementation of additional control logic to the MPC control algorithm to reduce the unit maneuvering, keeping the area under control in good compliance with NERC\u27s standards CPS1 and CPS2. The proposed control techniques are tested on a multiple area power system model within the MATLAB/Simulink environment. (Abstract shortened by UMI.)