Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration

In recent years, with the increasing penetration of distributed generators (DGs) with large-share capabilities, the efficient coordination of primary and backup overcurrent relay (OCR) schemes has emerged as one of the most challenging tasks in contemporary MV-distribution networks (DN). The main go...

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Main Author:	Shakir, Wisam Sabah
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/99586/1/WisamSabahShakirMSKE2022.pdf
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spelling	my-utm-ep.995862023-03-05T07:33:04Z Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration 2022 Shakir, Wisam Sabah TK Electrical engineering. Electronics Nuclear engineering In recent years, with the increasing penetration of distributed generators (DGs) with large-share capabilities, the efficient coordination of primary and backup overcurrent relay (OCR) schemes has emerged as one of the most challenging tasks in contemporary MV-distribution networks (DN). The main goal is to design a protection scheme to protect the power system where different intermittent sources significantly impact. The performance of the existing protection scheme needs to be analysed to develop a robust power system. In this project, an IEEE 33 bus system is considered for short circuit analysis and protection coordination, relying upon coordination for designing of overcurrent protection scheme to operate the relay efficiently and disconnect the fault section from the healthy network instantly. It also compares the differences between conventional systems and DG-connected radial systems. Moreover, the project examined the coordination scheme based on the Optimization Algorithm. The optimum coordination increases the sensitivity and reliability of the protection system by reducing the operating time of OCRs by using a standard tripping characteristic. Improved optimisation strategies have benefited from a new constraint that considers the maximum Plug Setting Multiplier (PSM) and improves the complementing OCR tripping properties by using optimisation approaches to improve coordination time intervals. The Time Multiplying Setting (TMS) for OCR coordination is optimised using the Genetic Algorithm (GA) in MATLAB coding tools. The ETAP has used the network to test the effectiveness of the proposed new constraint to improve the constrained optimisation technique in grid-connected modes. 2022 Thesis http://eprints.utm.my/id/eprint/99586/ http://eprints.utm.my/id/eprint/99586/1/WisamSabahShakirMSKE2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149785 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Shakir, Wisam Sabah Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration
description	In recent years, with the increasing penetration of distributed generators (DGs) with large-share capabilities, the efficient coordination of primary and backup overcurrent relay (OCR) schemes has emerged as one of the most challenging tasks in contemporary MV-distribution networks (DN). The main goal is to design a protection scheme to protect the power system where different intermittent sources significantly impact. The performance of the existing protection scheme needs to be analysed to develop a robust power system. In this project, an IEEE 33 bus system is considered for short circuit analysis and protection coordination, relying upon coordination for designing of overcurrent protection scheme to operate the relay efficiently and disconnect the fault section from the healthy network instantly. It also compares the differences between conventional systems and DG-connected radial systems. Moreover, the project examined the coordination scheme based on the Optimization Algorithm. The optimum coordination increases the sensitivity and reliability of the protection system by reducing the operating time of OCRs by using a standard tripping characteristic. Improved optimisation strategies have benefited from a new constraint that considers the maximum Plug Setting Multiplier (PSM) and improves the complementing OCR tripping properties by using optimisation approaches to improve coordination time intervals. The Time Multiplying Setting (TMS) for OCR coordination is optimised using the Genetic Algorithm (GA) in MATLAB coding tools. The ETAP has used the network to test the effectiveness of the proposed new constraint to improve the constrained optimisation technique in grid-connected modes.
format	Thesis
qualification_level	Master's degree
author	Shakir, Wisam Sabah
author_facet	Shakir, Wisam Sabah
author_sort	Shakir, Wisam Sabah
title	Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration
title_short	Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration
title_full	Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration
title_fullStr	Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration
title_full_unstemmed	Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration
title_sort	using ga to improve coordination of overcurrent relays for distribution network with high dg penetration
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2022
url	http://eprints.utm.my/id/eprint/99586/1/WisamSabahShakirMSKE2022.pdf
_version_	1776100622726070272

Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration

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