Title :
Application of wellbeing concepts in short term generating unit preventive maintenance scheduling
Author :
Abdulwhab, A. ; Billinton, R.
Author_Institution :
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
Abstract :
Preventive maintenance scheduling of generating units in a deregulated power system is usually conducted on a relatively short-term basis. In these systems, uncoordinated removal of generating equipment for maintenance can result in severe generation shortages. Short term preventive maintenance scheduling is therefore an important requirement in order to avoid excessive price increases and rotating load curtailments. There are a number of different approaches used for preventive maintenance scheduling. The most widely used techniques are deterministically based. Probabilistic approaches, however, have also been used for this purpose, A new methodology has been developed to combine a probabilistic approach and an acceptable deterministic criterion into a single framework. This methodology is designated as the health levelization. technique. The effect on maintenance scheduling of using the tune dependent unit unavailability instead of the forced outage rate (FOR) is illustrated in this paper. The consequences of incorporating load forecast uncertainty (LFU) in the maintenance scheduling process are also examined. The concepts presented are illustrated by application to two test systems: The IEEE Reliability Test System (IEEE-RTS) and the Roy Billinton Test System (RBTS).
Keywords :
load forecasting; maintenance engineering; power generation scheduling; probability; IEEE Reliability Test System; Roy Billinton Test System; deregulated power system; deterministic criterion; forced outage rate; generating unit preventive maintenance scheduling; generating units; health levelization technique; load forecast uncertainty; probabilistic approach; severe generation shortages; short term preventive maintenance scheduling; tune dependent unit unavailability; wellbeing concepts; Computerized monitoring; Design methodology; Load forecasting; Monopoly; Power generation; Power systems; Preventive maintenance; Remotely operated vehicles; System testing; Uncertainty;
Conference_Titel :
Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
Print_ISBN :
0-7803-7514-9
DOI :
10.1109/CCECE.2002.1015190