Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/61753
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: A stochastic fluid flow model of the operation and maintenance of power generation systems
Author: Bean, N.
O'Reilly, M.
Sargison, J.
Citation: IEEE Transactions on Power Systems, 2010; 25(3):1361-1374
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2010
ISSN: 0885-8950
1558-0679
Statement of
Responsibility: 
Nigel G. Bean, Małgorzata M. O’Reilly, and Jane E. Sargison
Abstract: A tool to inform strategic decision making on electricity market bidding prices, based on prediction of long-term system operation, degradation, and maintenance, is described. The operation and maintenance of a hydro-power generation system is modeled using a bounded stochastic fluid flow model with special behavior at the boundaries. The stationary distribution for the model and useful time-dependent performance measures are derived. The application potential of the model is illustrated through a practical industry-derived example modeling the operation of a hydro-power generator, in which a number of operation strategies are compared using several performance measures.
Keywords: Maintenance
Markov chains
operation strategies
power generation systems
Rights: © 2010 IEEE
DOI: 10.1109/TPWRS.2010.2042308
Grant ID: http://purl.org/au-research/grants/arc/DP0770388
http://purl.org/au-research/grants/arc/DP0770388
Published version: http://dx.doi.org/10.1109/tpwrs.2010.2042308
Appears in Collections:Aurora harvest 5
Environment Institute publications
Mathematical Sciences publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.