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Abstract
Assessing the dynamic stability of electrical power system in real time is the difficult problem. This paper proposes a parallel neural network structure (PNN) to improve level of accuracy in fast assessing the stability of the real electrical power system by using criteria of energy function in steps before training and executing reasoning. The applications of this method with advantages and disadvantages will also be mentioned in this paper.
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Article Details
Issue: Vol 8 No 11 (2005)
Page No.: 66-73
Published: Nov 30, 2005
Section: Article
DOI: https://doi.org/10.32508/stdj.v8i11.3096
Copyright Info
Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Huy Anh, Q., & Phuc Diem, N. (2005). THE APPLICATION OF NEURAL NETWORK FOR FAST ASSESS OF THE STABILITY OF ELECTRICAL POWER SYSTEM. Science and Technology Development Journal, 8(11), 66-73. https://doi.org/https://doi.org/10.32508/stdj.v8i11.3096
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