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

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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 2024Nov.24];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

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

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