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
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Online Access:http://eprints.utm.my/id/eprint/99586/1/WisamSabahShakirMSKE2022.pdf
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spelling my.utm.995862023-03-05T07:33:04Z http://eprints.utm.my/id/eprint/99586/ Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/99586/1/WisamSabahShakirMSKE2022.pdf Shakir, Wisam Sabah (2022) Using GA to improve coordination of overcurrent relays for distribution network with high DG penetration. Masters thesis, Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149785
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2022
url http://eprints.utm.my/id/eprint/99586/1/WisamSabahShakirMSKE2022.pdf
http://eprints.utm.my/id/eprint/99586/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149785
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score 13.18916