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
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id	my-utm-ep.4376
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spelling	my-utm-ep.43762018-01-28T03:39:24Z Determination of available transfer capability for a deregulated power system using fuzzy logic 2003-07 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 http://eprints.utm.my/id/eprint/4376/ http://eprints.utm.my/id/eprint/4376/1/AzharKhairuddinPFKE2003.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty 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 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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2003
url	http://eprints.utm.my/id/eprint/4376/1/AzharKhairuddinPFKE2003.pdf
_version_	1747814522139181056

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

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