A Comparison Study Between Original Fuzzy Petri Nets and the New Adapting Fuzzy Petri Nets Used in Power Systems Prognosis

Authors

  • Tarek Kherbek Tishreen University
  • Ahmad Ahmad Tishreen University
  • Rahaf Solaiman Tishreen University

Keywords:

performance prediction, electrical networks, petri fog networks

Abstract

The term prediction refers to means that anticipate potential hazards during electrical network operation before they occur in order to avoid their negative effects on operation and equipment. Petri fuzzy networks (FPNs) play an important role in this field due to their mathematical and topographic properties that allow the representation of a wide range of event probabilities. In this paper, we present a comparative study between conventional fuzzy Petri networks and AFPN-adapted fuzzy Petri networks, which we have developed in order to adapt to changing conditions affecting the network's operation. We used the IEEE 9 bus system network to perform a comparison analysis at an overload condition and then as variable environmental conditions added and discussed the results.

Author Biographies

Tarek Kherbek, Tishreen University

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

Ahmad Ahmad, Tishreen University

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

Rahaf Solaiman, Tishreen University

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

Downloads

Published

2021-07-07

How to Cite

1.
خيربك ط, احمد ا, سليمان ر. A Comparison Study Between Original Fuzzy Petri Nets and the New Adapting Fuzzy Petri Nets Used in Power Systems Prognosis. Tuj-eng [Internet]. 2021Jul.7 [cited 2024Dec.26];43(3). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/10619

Issue

Vol. 43 No. 3 (2021): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Articles

License

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

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The authors retain the copyright and grant the right to publish in the magazine for the first time with the transfer of the commercial right to Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series

 Under a CC BY- NC-SA 04 license that allows others to share the work with of the work's authorship and initial publication in this journal. Authors can use a copy of their articles in their scientific activity, and on their scientific websites, provided that the place of publication is indicted in  Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series   .  The Readers have the right to send, print and subscribe to the initial version of the article, and the title of  Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series     Publisher

journal uses a CC BY-NC-SA license which mean

You are free to:

  • Adapt — remix, transform, and build upon the material
  •  
  • The licensor cannot revoke these freedoms as long as you follow the license terms.

 

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial — You may not use the material for commercial purposes.
  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Most read articles by the same author(s)