A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam

One of the main requirements of distribution utility companies related to interconnection of distributed generation (DG) is islanding detection technique. Islanding occurs when part of the distribution system becomes electrically isolated from the main supply, and it remains energized by DG in an is...

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Main Author:	Ab Salam, Aimie Nadia
Format:	Thesis
Language:	English
Published:	2019
Online Access:	https://ir.uitm.edu.my/id/eprint/84239/1/84239.pdf
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id	my-uitm-ir.84239
record_format	uketd_dc
spelling	my-uitm-ir.842392024-02-16T04:14:07Z A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam 2019 Ab Salam, Aimie Nadia One of the main requirements of distribution utility companies related to interconnection of distributed generation (DG) is islanding detection technique. Islanding occurs when part of the distribution system becomes electrically isolated from the main supply, and it remains energized by DG in an isolated subsystem. Failure to detect islanding may lead to power quality issues, equipment damage and safety issues concerning the electrical company workers. Therefore, DG connection codes worldwide require that all islanded DGs to be disconnected as fast as possible after the formation of islanding. Among islanding detection technique, computational intelligence technique is the most recent approach that can produce almost zero nondetection zone. The objective of this thesis is to design a new islanding detection technique for synchronous type of DG based on the most sensitive passive parameters by using Artificial Neural Network (ANN) Evolutionary Programming (EP). The most sensitive parameter is selected from the sixteen parameters designated for this study considering the sensitivity analysis. The analysis is produced based on the response of each parameter when the test system is subjected with different types of islanding and non-islanding event. 2019 Thesis https://ir.uitm.edu.my/id/eprint/84239/ https://ir.uitm.edu.my/id/eprint/84239/1/84239.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mohamad, Hasmaini
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohamad, Hasmaini
description	One of the main requirements of distribution utility companies related to interconnection of distributed generation (DG) is islanding detection technique. Islanding occurs when part of the distribution system becomes electrically isolated from the main supply, and it remains energized by DG in an isolated subsystem. Failure to detect islanding may lead to power quality issues, equipment damage and safety issues concerning the electrical company workers. Therefore, DG connection codes worldwide require that all islanded DGs to be disconnected as fast as possible after the formation of islanding. Among islanding detection technique, computational intelligence technique is the most recent approach that can produce almost zero nondetection zone. The objective of this thesis is to design a new islanding detection technique for synchronous type of DG based on the most sensitive passive parameters by using Artificial Neural Network (ANN) Evolutionary Programming (EP). The most sensitive parameter is selected from the sixteen parameters designated for this study considering the sensitivity analysis. The analysis is produced based on the response of each parameter when the test system is subjected with different types of islanding and non-islanding event.
format	Thesis
qualification_level	Master's degree
author	Ab Salam, Aimie Nadia
spellingShingle	Ab Salam, Aimie Nadia A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam
author_facet	Ab Salam, Aimie Nadia
author_sort	Ab Salam, Aimie Nadia
title	A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam
title_short	A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam
title_full	A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam
title_fullStr	A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam
title_full_unstemmed	A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam
title_sort	new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / aimie nadia ab salam
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/84239/1/84239.pdf
_version_	1794191983562981376

A new islanding detection technique based on passive parameter using artificial neural network evolutionary programing / Aimie Nadia Ab Salam

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