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     Research Journal of Applied Sciences, Engineering and Technology


A Methodology for Computational Efficiency Improvement of Z-Matrix in Power System Fault Analysis Using Evolutionary Algorithms

1Sajjad Abedi, 2Arash Alimardani, 2Mehrdad Abedi and 2Seyed Hossein Hosseinian
1Islamic Azad University, Damavand Branch, Damavand, Iran
2Power System Analysis Lab., Electrical Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., 15875-4413, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  10:1711-1719
http://dx.doi.org/10.19026/rjaset.6.3893  |  © The Author(s) 2013
Received: September 25, 2012  |  Accepted: November 23, 2012  |  Published: July 20, 2013

Abstract

This study presents a novel and comparative approach to select an optimal path during direct Z-Matrix building process using Evolutionary Algorithms (EAs). The proposed evolutionary methods are based on selection of series and shunt elements (i.e., lines, transformers and generators) in optimal order for minimizing computation time. The proposed evolutionary methods are tested on IEEE 14-bus benchmark and the results are compared. The proposed method is also arranged to find the optimal path considering all possible network alterations due to all possible faults to avoid the requirement for repeating the calculation process for each single line fault. The comparative results indicate the feasibility and effectiveness of the method to find the optimal path in Z-matrix building process and considerably diminishing the time consumption for Z-matrix modification.

Keywords:

Computation time, evolutionary algorithms, IEEE 14-bus benchmark, impedance matrix, optimal path,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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