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A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator

The rapid growth of the distributed generators (DGs) integration into the distribution systems (DSs) creates new technical issues; conventional relay settings need to be updated depending on the network topology and operational mode as fault protection a major challenge. This emphasizes the need for...

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Autores principales: Al Hanaineh, Wael, Matas, Jose, El Mariachet, Jorge, Xie, Peilin, Bakkar, Mostafa, Guerrero, Josep. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861027/
https://www.ncbi.nlm.nih.gov/pubmed/36679778
http://dx.doi.org/10.3390/s23020980
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author Al Hanaineh, Wael
Matas, Jose
El Mariachet, Jorge
Xie, Peilin
Bakkar, Mostafa
Guerrero, Josep. M.
author_facet Al Hanaineh, Wael
Matas, Jose
El Mariachet, Jorge
Xie, Peilin
Bakkar, Mostafa
Guerrero, Josep. M.
author_sort Al Hanaineh, Wael
collection PubMed
description The rapid growth of the distributed generators (DGs) integration into the distribution systems (DSs) creates new technical issues; conventional relay settings need to be updated depending on the network topology and operational mode as fault protection a major challenge. This emphasizes the need for new fault protection methods to ensure secure protection and prevent undesirable tripping. Total harmonic distortion (THD) is an important indicator for assessing the quality of the grid. Here, a new protection system based on the THD of the grid voltages is proposed to address fault events in the electrical distribution network. The proposed protection system combines the THD with the estimates of the amplitude voltages and the zero-sequence component for defining an algorithm based on a finite state machine (FSM) for the detection, identification, and isolation of faults in the grid. The algorithm employs communication lines between all the protective devices (PDs) of the system to transmit tripping signals, allowing PDs to be coordinated. A second order generalized integrator (SOGI) and multiple SOGI (MSOGI) are used to obtain the THDs, estimated amplitude voltages, and zero-sequence component, which allows for fast detection with a low computational burden. The protection algorithm performance is evaluated through simulations in MATLAB/Simulink and a comparative study is developed between the proposed protection method and a differential relay (DR) protection system. The proposed method shows its capability to detect and isolate faults during different fault types with different fault resistances in different locations in the proposed network. In all the tested scenarios, the detection time of the faults has been between 7–10 ms. Moreover, this method gave the best solution as it has a higher accuracy and faster response than the conventional DR protection system.
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spelling pubmed-98610272023-01-22 A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator Al Hanaineh, Wael Matas, Jose El Mariachet, Jorge Xie, Peilin Bakkar, Mostafa Guerrero, Josep. M. Sensors (Basel) Article The rapid growth of the distributed generators (DGs) integration into the distribution systems (DSs) creates new technical issues; conventional relay settings need to be updated depending on the network topology and operational mode as fault protection a major challenge. This emphasizes the need for new fault protection methods to ensure secure protection and prevent undesirable tripping. Total harmonic distortion (THD) is an important indicator for assessing the quality of the grid. Here, a new protection system based on the THD of the grid voltages is proposed to address fault events in the electrical distribution network. The proposed protection system combines the THD with the estimates of the amplitude voltages and the zero-sequence component for defining an algorithm based on a finite state machine (FSM) for the detection, identification, and isolation of faults in the grid. The algorithm employs communication lines between all the protective devices (PDs) of the system to transmit tripping signals, allowing PDs to be coordinated. A second order generalized integrator (SOGI) and multiple SOGI (MSOGI) are used to obtain the THDs, estimated amplitude voltages, and zero-sequence component, which allows for fast detection with a low computational burden. The protection algorithm performance is evaluated through simulations in MATLAB/Simulink and a comparative study is developed between the proposed protection method and a differential relay (DR) protection system. The proposed method shows its capability to detect and isolate faults during different fault types with different fault resistances in different locations in the proposed network. In all the tested scenarios, the detection time of the faults has been between 7–10 ms. Moreover, this method gave the best solution as it has a higher accuracy and faster response than the conventional DR protection system. MDPI 2023-01-14 /pmc/articles/PMC9861027/ /pubmed/36679778 http://dx.doi.org/10.3390/s23020980 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Al Hanaineh, Wael
Matas, Jose
El Mariachet, Jorge
Xie, Peilin
Bakkar, Mostafa
Guerrero, Josep. M.
A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator
title A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator
title_full A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator
title_fullStr A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator
title_full_unstemmed A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator
title_short A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator
title_sort thd-based fault protection method using msogi-fll grid voltage estimator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861027/
https://www.ncbi.nlm.nih.gov/pubmed/36679778
http://dx.doi.org/10.3390/s23020980
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