Abstract
The overall availability assessment of a generating unit involves an appreciation of the forced outage parameters for the unit and its maintenance reqirements.
This paper introduces an algorithm for performing maintenance scheduling of generation systems in terms of levelizing the system risk throughout the year. The moment-cumulant method is used in developing the technique of this paper. The paper investigates the effects of the system forecast peak load and forced outage rate of a generating unit on the maintenance schedule of the generation system. Applications to the standard IEEE Reliability Test System (RTS) have been used to illustrate these studies.
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References
F A El-Sheikhi and R Billinton, “Power Generation Systems Availability Maintainability Assessment”, 10th Advances in Reliability Technology Symposium, University of Bradford, UK. 6–8 April, 1988 pp. 197–210.
R Billinton and R N Allan, “Reliability Evaluation of Power Systems”, Longman, London (England)/Plenum Press, New York, 1983
F A El-Sheikhi, “Maintenance Scheduling of Generating Facilities in Single and Interconnected Power Systems”, Doctor of Philosophy in Electrical Engineering, University of Saskatchawan, Saskatoon, Canada, 1983.
F A El-Sheikhi, R Billinton, “Probabilistic Simulation of Power System operation for Maintenance Scheduling of Generating Facilities”, Africon ‘83, 1st IEEE Conference in Africa, December 7–9, 1983, Nairobi, Kenya.
“IEEE Reliability Test System”, A Report prepared by the Reliability Test System Task Force of the IEEE Trans; Vol. PAS-98, No 6, Nov/Dec 1979, PP 2047–2054.
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© 1989 Springer-Verlag Berlin Heidelberg
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El-Sheikhi, F.A., Billinton, R. (1989). Effect of Maintenance Factors on Risk and Adequacy of Power Generation. In: Colombari, V. (eds) Reliability Data Collection and Use in Risk and Availability Assessment. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83721-0_48
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DOI: https://doi.org/10.1007/978-3-642-83721-0_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83723-4
Online ISBN: 978-3-642-83721-0
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