Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems

Fully deregulated energy market consists of a number of generation providers, a number of transmission system operators, and a number of retailers. The capability to predict the contribution of each generator to a retailer’s demand, the power loss in the transaction, the line losses associated with...

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Main Author:	Nallagownden, Perumal
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf
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id	my-usm-ep.42280
record_format	uketd_dc
spelling	my-usm-ep.422802019-04-12T05:26:44Z Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems 2011 Nallagownden, Perumal TK1-9971 Electrical engineering. Electronics. Nuclear engineering Fully deregulated energy market consists of a number of generation providers, a number of transmission system operators, and a number of retailers. The capability to predict the contribution of each generator to a retailer’s demand, the power loss in the transaction, the line losses associated with the transaction are necessary to frame transaction and transmission service hiring contracts. A comparative study of the different loss allocation methods namely Pro rata, Incremental allocation and Proportional sharing was carried out on the 14-bus, 24-bus IEEE RTS system, and from the results it was concluded that the proportional sharing method is the most suitable method to be used in this research. 2011 Thesis http://eprints.usm.my/42280/ http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Nallagownden, Perumal Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
description	Fully deregulated energy market consists of a number of generation providers, a number of transmission system operators, and a number of retailers. The capability to predict the contribution of each generator to a retailer’s demand, the power loss in the transaction, the line losses associated with the transaction are necessary to frame transaction and transmission service hiring contracts. A comparative study of the different loss allocation methods namely Pro rata, Incremental allocation and Proportional sharing was carried out on the 14-bus, 24-bus IEEE RTS system, and from the results it was concluded that the proportional sharing method is the most suitable method to be used in this research.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Nallagownden, Perumal
author_facet	Nallagownden, Perumal
author_sort	Nallagownden, Perumal
title	Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
title_short	Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
title_full	Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
title_fullStr	Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
title_full_unstemmed	Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
title_sort	power sharing, tracing and prediction of losses for deregulated operation of power systems
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuteraan Elektrik & Elektronik
publishDate	2011
url	http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf
_version_	1747821050380419072

Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems

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