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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
N. A. M. Kamari
Universiti Kebangsaan Malaysia
Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : IAES International Journal of Artificial Intelligence (IJ-AI)

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Intelligent swarm-based optimization technique for oscillatory stability assessment in power system N. A. M. Kamari; I. Musirin; A. A. Ibrahim; S. A. Halim
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.848 KB) | DOI: 10.11591/ijai.v8.i4.pp342-351

Abstract

This paper discussed the prediction of oscillatory stability condition of the power system using a particle swarm optimization (PSO) technique. Indicators namely synchronizing (Ks) and damping (Kd) torque coefficients is appointed to justify the angle stability condition in a multi-machine system. PSO is proposed and implemented to accelerate the determination of angle stability. The proposed algorithm has been confirmed to be more accurate with lower computation time compared with evolutionary programming (EP) technique. This result also supported with other indicators such as eigenvalues determination, damping ratio and least squares method. As a result, proposed technique is achievable to determine the oscillatory stability problems.
Co-Authors A. A. Ibrahim I. Musirin K. Khalid M. A. Zulkifley M. H. M. Zaman N. F. Ramli S. A. Halim