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Comparative Analysis of Power System Stabilizer using Artificial Intelligence Techniques


Ashok Vaghamhsi , Government Engineering College, Bhuj, Gujarat; Bhavans Shah, Government Engineering College, Bhuj, Gujarat


Power system stabilizer, Stability, Single machine system, Fuzzy logic, Neural Network, SIMULINK.


Power system stabilizers (PSSs) are used to enhance the damping during low frequency oscillations. The paper presents study of power system stabilizer using fuzzy logic and neural network to enhance stability of single machine infinite bus system. In this paper basic problem of conventional power system stabilizer for stability enhancement is defined which is traditionally used. Artificial intelligence techniques provide one alternative for stability enhancement and speed deviation (Δw). The proposed method using Artificial intelligence techniques achieves better improvement than conventional power system stabilizer. Fuzzy logic rules were developed for triangular membership function of input and output variables. Neuro controller is implemented and it is compared with reference model. The system is simulated in SIMULINK environment and the performances of conventional, Fuzzy based and Neural network based power system stabilizers are compared.

Other Details

Paper ID: IJSRDV1I3008
Published in: Volume : 1, Issue : 3
Publication Date: 01/06/2013
Page(s): 432-435

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