Ann Based Mrac Controller For Transient Stability Enhancement Of Smib
[Full Text]
AUTHOR(S)
Dr. Majli N. Hawas, Dr. Raaed K. Ibrahim, Ahmed J. Sultan
KEYWORDS
Transient Stability; Model Reference Adaptive Control; single Machine to Infinite Bus; Neural Network.
ABSTRACT
In this paper, an artificial neural network ANN is presented to enhance the transient stability of a single machine infinite bus based on model reference adaptive controller MRAC. Critical clearing time CCT is a main factor in analysis of transient stability that indicates of maximum permissible time period of fault in power system. Increment value of CCT has important issue to improve system stability. The simulation results using MATLAB / SIMULINK package show that the proposed ANNMRAC can dramatically improve the dynamic system behavior and force the system to track the reference model and reduce the error between them. The comparison between conventional RangeKutta method and the ANNMRAC is demonstrated that the proposed controller scheme is increasing of CCT and damping of electromechanical power oscillations.
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