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Abstract
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Article Information:
A Methodology for Computational Efficiency Improvement of Z-Matrix in Power System Fault Analysis Using Evolutionary Algorithms
Sajjad Abedi, Arash Alimardani, Mehrdad Abedi and Seyed Hossein Hosseinian
Corresponding Author: Sajjad Abedi
Submitted: September 25, 2012
Accepted: November 23, 2012
Published: July 20, 2013 |
Abstract:
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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.
Key words: Computation time, evolutionary algorithms, IEEE 14-bus benchmark, impedance matrix, optimal path , ,
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Cite this Reference:
Sajjad Abedi, Arash Alimardani, Mehrdad Abedi and Seyed Hossein Hosseinian, . A Methodology for Computational Efficiency Improvement of Z-Matrix in Power System Fault Analysis Using Evolutionary Algorithms. Research Journal of Applied Sciences, Engineering and Technology, (10): 1711-1719.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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