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Applying B rain E motional L earning B ased I ntelligent C ontroller ( B elbic) to Multiple‐Area Power Systems
Author(s) -
Ale Aghaee Shirin,
Lucas Caro,
Amiri Zadeh Khosrow
Publication year - 2012
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.493
Subject(s) - settling time , matlab , pid controller , computer science , engineering , operating system , control engineering , temperature control , step response
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 B rain E motional L earning B ased I ntelligent C ontroller ( BELBIC ) to regulate the frequency error for a two‐area interconnected power system. BELBIC is based on the emotional learning process in the A mygdala‐ O rbitofrontal 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.