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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主要作者: Nallagownden, Perumal
格式: Thesis
語言:English
出版: 2011
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在線閱讀:http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf
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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