A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm

Double-circuit power systems are one of the main types of modern transmission lines due to their reliability. Fault location in these transmission lines has always been a potential problem due to the mutual coupling between lines. Accordingly, this paper presents a novel objective function for the f...

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Main Authors: Mohammad Parpaei, Hossein Askarian-Abyaneh, Farzad Razavi
Format: Article
Language:English
Published: Amirkabir University of Technology 2023-03-01
Series:AUT Journal of Electrical Engineering
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Online Access:https://eej.aut.ac.ir/article_4912_9d1348b506a7e9b0841160bc8741eb4f.pdf
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author Mohammad Parpaei
Hossein Askarian-Abyaneh
Farzad Razavi
author_facet Mohammad Parpaei
Hossein Askarian-Abyaneh
Farzad Razavi
author_sort Mohammad Parpaei
collection DOAJ
description Double-circuit power systems are one of the main types of modern transmission lines due to their reliability. Fault location in these transmission lines has always been a potential problem due to the mutual coupling between lines. Accordingly, this paper presents a novel objective function for the fault location using synchronous post-fault measurements of currents and voltages captured by distance protective relays. Moreover, a fast and accurate modern metaheuristic optimization algorithm for this cost function is proposed, which are key parameters to estimate the fault location methods based on optimization algorithms. In this regard, first, the input data (current and voltage signals) were refined using some auxiliary functions such as Fast Fourier transformation (FFT), Decaying Dc Elimination (DDE), and frequency tracking algorithm to accurately extract the fundamental component of the voltage and current signals. Afterwards, the proposed fault location based on the proposed metaheuristic optimization algorithm estimates the fault location using these input signals. The main advantage of the presented algorithm is the parallel estimation processing to improve the convergence speed and the accuracy of the objective function of the fault location, and was applied to various fault types and various operating conditions to validate the performance of the proposed approach. In addition, the performance of the proposed method was compared with different fault location methods. The simulation was implemented in the PSCAD and MATLAB® software. The simulation results show that the novel proposed approach outperforms other fault locations in estimating the fault location.
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spelling doaj-art-7ff0b68875664ea28cd592ecf7bc9d652025-08-20T02:34:56ZengAmirkabir University of TechnologyAUT Journal of Electrical Engineering2588-29102588-29292023-03-01551314610.22060/eej.2022.21498.54774912A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization AlgorithmMohammad Parpaei0Hossein Askarian-Abyaneh1Farzad Razavi2Department of Electrical Engineering, Amirkabir University of Technology, Tehran, IranDepartment of Electrical Engineering, Amirkabir University of Technology, Tehran, IranDepartment of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, IranDouble-circuit power systems are one of the main types of modern transmission lines due to their reliability. Fault location in these transmission lines has always been a potential problem due to the mutual coupling between lines. Accordingly, this paper presents a novel objective function for the fault location using synchronous post-fault measurements of currents and voltages captured by distance protective relays. Moreover, a fast and accurate modern metaheuristic optimization algorithm for this cost function is proposed, which are key parameters to estimate the fault location methods based on optimization algorithms. In this regard, first, the input data (current and voltage signals) were refined using some auxiliary functions such as Fast Fourier transformation (FFT), Decaying Dc Elimination (DDE), and frequency tracking algorithm to accurately extract the fundamental component of the voltage and current signals. Afterwards, the proposed fault location based on the proposed metaheuristic optimization algorithm estimates the fault location using these input signals. The main advantage of the presented algorithm is the parallel estimation processing to improve the convergence speed and the accuracy of the objective function of the fault location, and was applied to various fault types and various operating conditions to validate the performance of the proposed approach. In addition, the performance of the proposed method was compared with different fault location methods. The simulation was implemented in the PSCAD and MATLAB® software. The simulation results show that the novel proposed approach outperforms other fault locations in estimating the fault location.https://eej.aut.ac.ir/article_4912_9d1348b506a7e9b0841160bc8741eb4f.pdffault locationpower systemtransmission line fault locationoptimization algorithmdistance protective relays
spellingShingle Mohammad Parpaei
Hossein Askarian-Abyaneh
Farzad Razavi
A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm
AUT Journal of Electrical Engineering
fault location
power system
transmission line fault location
optimization algorithm
distance protective relays
title A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm
title_full A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm
title_fullStr A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm
title_full_unstemmed A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm
title_short A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm
title_sort fast fault location based on a new proposed modern metaheuristic optimization algorithm
topic fault location
power system
transmission line fault location
optimization algorithm
distance protective relays
url https://eej.aut.ac.ir/article_4912_9d1348b506a7e9b0841160bc8741eb4f.pdf
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AT farzadrazavi afastfaultlocationbasedonanewproposedmodernmetaheuristicoptimizationalgorithm
AT mohammadparpaei fastfaultlocationbasedonanewproposedmodernmetaheuristicoptimizationalgorithm
AT hosseinaskarianabyaneh fastfaultlocationbasedonanewproposedmodernmetaheuristicoptimizationalgorithm
AT farzadrazavi fastfaultlocationbasedonanewproposedmodernmetaheuristicoptimizationalgorithm