Cover Image

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...

Full description

Saved in:
Bibliographic Details
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
http://eprints.usm.my/42280/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.usm.eprints.42280
record_format eprints
spelling my.usm.eprints.42280 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.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2011
url http://eprints.usm.my/42280/1/PERUMAL_NALLAGOWNDEN.pdf
http://eprints.usm.my/42280/
_version_ 1643710460058402816
score 13.211869

Similar Items