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https://hdl.handle.net/2440/61753
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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 |
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