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Neural network excitation control system for transient stability analysis of power system

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2 Author(s)
Lachman, T. ; Fac. of Eng., Archit. & Built Environ., UCSI Univ., Kuala Lumpur, Malaysia ; Mohamad, T.R.

This paper presents artificial neural network (ANN) based controller model to simulate the automatic voltage regulator (AVR) response for the transient stability analysis. Two different models are simulated considering single machine connected to an infinite bus (SMIB) to check the response of NN behaviour with conventional controller. Based on simulation results, it is found that NN controller gives better response by removing oscillations, while the both conventional AVR controllers show ripple and oscillations before reaching the steady state condition. The development of a neural network based software controller to simulate the automatic voltage regulator behavior for improving transient stability of power system.

Published in:

TENCON 2009 - 2009 IEEE Region 10 Conference

Date of Conference:

23-26 Jan. 2009

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