Design of a Neural Fuzzy Damper Vibration to Improve the Stability of Electric Power Systems

Authors

  • Abbas Soundouk Damascus University
  • Ghaith Warkouzak Damascus University
  • Moutaz Dablo Damascus University

Keywords:

Electric power system, the stability of the electric power system, Adaptive Neuro Fuzzy Inference System (ANFIS), artificial intelligence (AI), agitation system, vibration damper.

Abstract

In this Paper a New Design Methodology for The Vibration Damper for Synchronous Machine Depends On Adaptive Neuro Fuzzy Inference System, Is Proposed in Order to Reduce the Oscillation Voltage in Electrical System and Find Out the Effectiveness of Proposed Damper in The Stability of the System, It Was Compared with Traditionally Power System Stabilizer.

The New Damper Is Based On Adaptive Neuro Fuzzy Inference System Which Process the Signal of Rotation Speed of the Generator Then Control of the Excitation of Synchronous Machine, The Designed Damper Showed Ability to Reduce Amplitude Vibrations Arising from Failures and Thus Reduce the Time of Damping by Providing Additional Effort to Signal Entered to The Excitation System, compared with A Conventional Vibration Damper and Its Performance Is Better Than a Conventional Vibration Damper.

The Proposed Design Offers a Good Possibility of Further Improving the Dynamic Stability and Thus the Stability of the Electrical System.

 

Author Biographies

Abbas Soundouk, Damascus University

Professor, Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering

Ghaith Warkouzak, Damascus University

Associate Professor, Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering

Moutaz Dablo, Damascus University

Postgraduate Student (Ph.D.), Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering

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Published

2021-01-18

How to Cite

1.
صندوق ع, ورقوزق غ, دبلو م. Design of a Neural Fuzzy Damper Vibration to Improve the Stability of Electric Power Systems. Tuj-eng [Internet]. 2021Jan.18 [cited 2024Nov.24];42(6). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/10223

Issue

Vol. 42 No. 6 (2020): Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series

Section

Articles

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Copyright (c) 2021 ttps://creativecommons.org/licenses/by-nc-sa/4.0/

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