Evolution of efficient power system control is very important. An effective power system simulation is useful for development as an evaluation of control performance. In this paper, a new, efficient simulation of multiple-area power system control is proposed. We present the application of a Brain Emotional Learning Based Intelligent Controller (BELBIC) to regulate the frequency error for a two-area interconnected power system. BELBIC is based on the emotional learning process in the Amygdala-Orbitofrontal system of the mammalian brain. Simulation results of this controller and the PID controller for a two-area power system in a MATLAB/SIMULINK environment show that it develops the stability control performance and improves amplitude of oscillations and settling time up to 17% and 24%, respectively. Actually, the simulation shows that the proposed BELBIC model for the MATLAB/SIMULINK environment works and gives acceptable results, without redesigning it for each separate system.