DocumentCode
1872563
Title
Application of probabilistic health analysis in generating facilities maintenance scheduling
Author
Billinton, Roy ; Abdulwhab, Ahmed Saleh
Author_Institution
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
Volume
2
fYear
2001
fDate
2001
Abstract
Preventive maintenance scheduling of generating facilities is an important requirement in generating system planning. Not conducting maintenance may enhance the ability to provide the available reserve in the short run, but will lead to higher generating unit failure rates which could create serious reserve shortages and decreased system reliability. A new technique designated as the health levelization technique is presented in this paper. This technique is a hybrid approach, which incorporates a deterministic criterion within a probabilistic framework. In the studies described in this paper, the probability of health is determined using the capacity of the largest unit. The maintenance schedules obtained using the health levelization technique is more responsive than the schedules obtained using the reserve levelization approach as it has the capability to incorporate many of the uncertainties that exist in the process. Deterministic techniques can create maintenance plans that satisfy the approved deterministic criteria. They can also create situations in some weeks in which there is excessive system risk due to the fact that the deterministic techniques do not involve any consideration of the actual risk
Keywords
deterministic algorithms; maintenance engineering; power generation reliability; power stations; probability; scheduling; deterministic criterion; generating facilities maintenance scheduling; generating unit failure rates; health levelization technique; power system reliability; preventive maintenance scheduling; probabilistic health analysis; reserve shortages; well-being analysis; Capacity planning; Loss measurement; Power generation; Power industry; Power systems; Preventive maintenance; Reliability; Risk analysis; Stochastic processes; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Tech Proceedings, 2001 IEEE Porto
Conference_Location
Porto
Print_ISBN
0-7803-7139-9
Type
conf
DOI
10.1109/PTC.2001.964775
Filename
964775
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