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:
Online Access:http://eprints.usm.my/42280/
http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf
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author Nallagownden, Perumal
author_facet Nallagownden, Perumal
author_sort Nallagownden, Perumal
building USM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T17:48:29Z
format Thesis
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T17:48:29Z
publishDate 2011
recordtype eprints
repository_type Digital Repository
spelling usm-422802019-04-12T05:26:44Z http://eprints.usm.my/42280/ Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems 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 NonPeerReviewed application/pdf en http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf Nallagownden, Perumal (2011) Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems. PhD thesis, Universiti Sains Malaysia.
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Nallagownden, Perumal
Power Sharing, Tracing And Prediction Of Losses For Deregulated Operation Of Power Systems
title 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_short 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
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/42280/
http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf