Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron

Losses in generation and overloading effect are two phenomena that may occur due to progressing demand at the load side. This may lead to system instability in forms of voltage and frequency. In order to avoid this problem, the under voltage load shedding scheme can be performed to shed some amount...

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Main Author: Hamron, Lukman Hakim
Format: Article
Language:English
Published: Universiti Teknologi MARA (UiTM) 2013
Online Access:https://ir.uitm.edu.my/id/eprint/97531/1/97531.PDF
https://ir.uitm.edu.my/id/eprint/97531/
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spelling my.uitm.ir.975312024-06-26T16:00:57Z https://ir.uitm.edu.my/id/eprint/97531/ Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron Hamron, Lukman Hakim Losses in generation and overloading effect are two phenomena that may occur due to progressing demand at the load side. This may lead to system instability in forms of voltage and frequency. In order to avoid this problem, the under voltage load shedding scheme can be performed to shed some amount of load before the disturbance occur. This paper presents computational intelligence technique for load shedding. The study involves the development of fuzzy rules in order to make decision on load shedding. This method functions will determine the selected bus for load shedding and amount of load that needs to be shed depending on the measured minimum voltage of the system. The result of this paper will show the performance of under voltage load shedding scheme in determining power system stability by shedding some amount of the load demand. The technique has been validated on the IEEE 30-bus system and MATLAB software is used to run the simulation. Universiti Teknologi MARA (UiTM) 2013 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/97531/1/97531.PDF Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron. (2013) pp. 1-7.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Losses in generation and overloading effect are two phenomena that may occur due to progressing demand at the load side. This may lead to system instability in forms of voltage and frequency. In order to avoid this problem, the under voltage load shedding scheme can be performed to shed some amount of load before the disturbance occur. This paper presents computational intelligence technique for load shedding. The study involves the development of fuzzy rules in order to make decision on load shedding. This method functions will determine the selected bus for load shedding and amount of load that needs to be shed depending on the measured minimum voltage of the system. The result of this paper will show the performance of under voltage load shedding scheme in determining power system stability by shedding some amount of the load demand. The technique has been validated on the IEEE 30-bus system and MATLAB software is used to run the simulation.
format Article
author Hamron, Lukman Hakim
spellingShingle Hamron, Lukman Hakim
Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron
author_facet Hamron, Lukman Hakim
author_sort Hamron, Lukman Hakim
title Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron
title_short Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron
title_full Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron
title_fullStr Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron
title_full_unstemmed Computational intelligence based technique for load shedding scheme: article / Lukman Hakim Hamron
title_sort computational intelligence based technique for load shedding scheme: article / lukman hakim hamron
publisher Universiti Teknologi MARA (UiTM)
publishDate 2013
url https://ir.uitm.edu.my/id/eprint/97531/1/97531.PDF
https://ir.uitm.edu.my/id/eprint/97531/
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score 13.164666