Applying Brain Emotional Learning Based Intelligent Controller (Belbic) to Multiple‐Area Power Systems

Abstract

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.

Brain Emotional Learning Based Intelligent Decoupler for Nonlinear Multi‐Input Multi‐Output Distillation Columns

“…The model of brain emotional learning algorithm had been proposed in [10,11] and then was developed and shared for control engineering applications [12]. Since then, BELBIC is increasingly being utilized in many control engineering applications such as electric motors [13,14], servo systems [15,16], motion control [17,18], and power systems [19,20]. Some recent researches utilize other intelligent techniques in cooperation with BELBIC to control the system such as fuzzy logic [21,22].…”

Observer‐Based H∞ Synchronization Control for Input and Output Time‐Delays Coronary Artery System

“…In the past decade, the nonlinear theory connected with biomedical engineering has flourished as an emerging area of research, such as brain activity, coronary artery, nervous system, and so forth [1][2][3]. The coronary artery, which can supply nutrients and oxygen to the heart, is a muscle-type blood vessel.…”

A New Hybrid BFOA-PSO Optimization Technique for Decoupling and Robust Control of Two-Coupled Distillation Column Process

“…Afterwards, this learning technique is deployed in the system control design presenting the novel Brain Emotional Learning Based Intelligent Controller (BELBIC) [30]. Thus, the Brain Emotional Learning Based Intelligent Controller (BELBIC) has shown robustness in the control of the nonlinear and uncertain systems such as Van Der Pol oscillator, Duffing forced oscillator and automatic self-balancing scale [31], washing machine [32], microheat exchanger [33], switched reluctance motor [34], unmanned aerial vehicle [35], path tracking of a vehicle [36], two-coupled distillation column process [37], multiple-area power systems [38], and continuous stirred tank reactor [39, 40]. …”