Bat Inspired Algorithm (BIA) has recently been
explored to develop a novel algorithm for distributed
optimization and control. This paper proposes a Model
Predictive Control (MPC) of Load Frequency Control (LFC)
based BIA to enhance the damping of oscillations in a two-area
power system. A two-area hydro-thermal system is considered
to be equipped with Model Predictive Control (MPC). The
proposed power system model considers generation rate
constraint (GRC), dead band, and time delay imposed to the
power system by governor-turbine, thermodynamic process,
and communication channels. BIA is utilized to search for
optimal controller parameters by minimizing a time-domain
based objective function. The performance of the proposed
controller has been evaluated with the performance of the
conventional PI controller based on integral square error
technique , and PI controller tuned by Genetic Algorithm
(GA) in order to demonstrate the superior efficiency of the
proposed MPC tuned by BIA. Simulation results emphasis on
the better performance of the proposed BIA-based MPC
compared to PI controller based on GA and conventional one
over wide range of operating conditions, and system parameters
variations.