Detecting The Loss Of Excitation In Hydro Generators Using A Neuro-Fuzzy Technique

  • M. S. Abdel Aziz Dar Al-Handasah (Shair and partners), Cairo
  • M. Elsamahy The Higher Institute of Engineering, El-Shorouk Academy
  • M. A. Moustafa Hassan University of Cairo
  • F. Bendary Benha University
Keywords: Adaptive Neuro Fuzzy Inference System, Discrete Fourier Transform, Loss of Excitation, Hydro-Generator, Dynamic Performance, Simulation

Abstract

This research explores the impact of using the 3rd harmonics and the positive sequence components on enhancing the performance of the circuits for the detection of Loss of Excitation (LOE) in hydro-generators. In this context, investigations were conducted on a two hydro-generators power station model under a complete Loss of Excitation (LOE) conditions, and a partial Loss of Excitation (LOE) conditions in different generator loading conditions. The results of the investigations are compared with those obtained using other techniques to prove the effectiveness of the proposed solution. The time-domain simulation studies were conducted using PSCAD/EMTDC software. The results obtained are very promising.

Published
2016-06-01
How to Cite
1.
Aziz MS, Elsamahy M, Hassan MA, Bendary F. Detecting The Loss Of Excitation In Hydro Generators Using A Neuro-Fuzzy Technique. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 1Jun.2016 [cited 9May2024];39(1):34-3. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/440
Issue
Vol 39 No 1 (2016)
Section
Articles

@ "Dunarea de Jos" University of Galati

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