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Determination of available transfer capability for a deregulated power system using fuzzy logic

The emerging trend of deregulating power industries requires the operator to keep the transmission network congestion free when the generation companies compete to sell electricity to the distributors or wholesale purchasers. This requires real-time predetermination of an index termed Available Tran...

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Main Author:	Khairuddin, Azhar
Format:	Thesis
Language:	English
Published:	2003
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/4376/1/AzharKhairuddinPFKE2003.pdf http://eprints.utm.my/id/eprint/4376/
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spelling	my.utm.43762018-01-28T03:39:24Z http://eprints.utm.my/id/eprint/4376/ Determination of available transfer capability for a deregulated power system using fuzzy logic Khairuddin, Azhar TK Electrical engineering. Electronics Nuclear engineering The emerging trend of deregulating power industries requires the operator to keep the transmission network congestion free when the generation companies compete to sell electricity to the distributors or wholesale purchasers. This requires real-time predetermination of an index termed Available Transfer Capability (ATC), between every possible pair of source (selling or injection point) and sink (purchase or extraction point) buses. ATC between a given pair of source and sink buses is quantified by the allowable highest magnitude of active power (MW) that can be transferred from the source to the sink over and above the already committed uses (base case) of the whole network without exceeding any line thermal loading and bus voltage limits. The works reported to date on ATC determination have the drawbacks of either oversimplification of the problems or too high computational burden to be implemented in on-line environment. Moreover, the methods that consider both line thermal loading (MA) and bus voltage constraints lack effective exploitation of the correlation between reactive power (MVAR) support and ATC. The present research has developed a real time compatible novel method based on fuzzy logic for concurrent determination of ATC with and without MAR supports. This method provides outputs through trivial computations in one shot from a given base case involving only three input variables in any power system. The architecture of the fuzzy logic model appropriate for ATC determination has been developed in the research. The developed method has been extensively tested and compared against a conventional full scale AC load flow based ATC determination method in terms of accuracy and CPU time using the same array of transactions, base cases, and generationlline outage scenarios in the standard IEEE 24 bus Reliability Test System and IEEE 11 8 bus test system. The method has yielded satisfactory results with much favourable computational time compared to the load flow method. 2003-07 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/4376/1/AzharKhairuddinPFKE2003.pdf Khairuddin, Azhar (2003) Determination of available transfer capability for a deregulated power system using fuzzy logic. PhD thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
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 Khairuddin, Azhar Determination of available transfer capability for a deregulated power system using fuzzy logic
description	The emerging trend of deregulating power industries requires the operator to keep the transmission network congestion free when the generation companies compete to sell electricity to the distributors or wholesale purchasers. This requires real-time predetermination of an index termed Available Transfer Capability (ATC), between every possible pair of source (selling or injection point) and sink (purchase or extraction point) buses. ATC between a given pair of source and sink buses is quantified by the allowable highest magnitude of active power (MW) that can be transferred from the source to the sink over and above the already committed uses (base case) of the whole network without exceeding any line thermal loading and bus voltage limits. The works reported to date on ATC determination have the drawbacks of either oversimplification of the problems or too high computational burden to be implemented in on-line environment. Moreover, the methods that consider both line thermal loading (MA) and bus voltage constraints lack effective exploitation of the correlation between reactive power (MVAR) support and ATC. The present research has developed a real time compatible novel method based on fuzzy logic for concurrent determination of ATC with and without MAR supports. This method provides outputs through trivial computations in one shot from a given base case involving only three input variables in any power system. The architecture of the fuzzy logic model appropriate for ATC determination has been developed in the research. The developed method has been extensively tested and compared against a conventional full scale AC load flow based ATC determination method in terms of accuracy and CPU time using the same array of transactions, base cases, and generationlline outage scenarios in the standard IEEE 24 bus Reliability Test System and IEEE 11 8 bus test system. The method has yielded satisfactory results with much favourable computational time compared to the load flow method.
format	Thesis
author	Khairuddin, Azhar
author_facet	Khairuddin, Azhar
author_sort	Khairuddin, Azhar
title	Determination of available transfer capability for a deregulated power system using fuzzy logic
title_short	Determination of available transfer capability for a deregulated power system using fuzzy logic
title_full	Determination of available transfer capability for a deregulated power system using fuzzy logic
title_fullStr	Determination of available transfer capability for a deregulated power system using fuzzy logic
title_full_unstemmed	Determination of available transfer capability for a deregulated power system using fuzzy logic
title_sort	determination of available transfer capability for a deregulated power system using fuzzy logic
publishDate	2003
url	http://eprints.utm.my/id/eprint/4376/1/AzharKhairuddinPFKE2003.pdf http://eprints.utm.my/id/eprint/4376/
_version_	1643644039216496640
score	13.211869

Determination of available transfer capability for a deregulated power system using fuzzy logic

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