Research Article

Modelling reliability of distribution network fault diagnostic tools using petri-nets

OKORIE P U1*, ALIYU U O2, JIMOH B2, SANI S. M1
1 Dept. of Electrical and Computer Engineering, Ahmadu Bello University Zaria – Nigeria
2 Electrical Programme, School of Engineering, Abubakar Tafawa Balewa University Bauchi – Nigeria.
* Corresponding author: patrickubeokorie@yahoo.com
Published: Dec, 2014
Pages: 54-59

Abstract

The aim of the work presented in this paper is to evaluate and develop a framework for reliability analysis of distribution system modeling and simulation using Petri-Nets. The problem of detecting, isolating and restoring fault events in dynamic systems modeled is considered. As the complexity of power system increases, fault diagnosis become very difficult task therefore necessitate the development of PN to anchor onto power system in order to tackle and overcome these situation. A sample power system network which has 2 sources, 4 buses, 10 over current relays, 5 circuit breakers and 2 distribution lines connected loads is used as test network. The modeled network is then simulated with five fault cases. Results of these simulations are given in order of the PN firing sequence as follows: M1 = (1; 0; 0; 0; 0; 0; 0); M2 = (0; 1; 0; 0; 0; 0; 0); M3 = (0; 0; 1; 1; 0; 0; 0); M4 = (0; 0; 1; 0; 1; 1; 0); M5 = (0; 0; 1; 0; 1; 0; 1) and M6 = (1; 0; 0; 0; 0; 0; 0).It is shown from five cases that the faulted power system elements are diagnosed accurately by using the Petri nets based fault diagnosis models analytical and simulation.

Keywords

distribution network fault analysis petri-nets firing token and reliability

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How to Cite

U, O. P., O, A. U., B, J., & M, S. S. (2014). Modelling reliability of distribution network fault diagnostic tools using petri-nets. Nigerian Journal of Materials Science and Engineering, 5(1), 54-59.

O. P. U, A. U. O, J. B, and S. S. M, "Modelling reliability of distribution network fault diagnostic tools using petri-nets," Nigerian Journal of Materials Science and Engineering, vol. 5, no. 1, pp. 54-59, December 2014.

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