Fuel-constrained preventive maintenance scheduling for an electric power utility

Miscellaneous · Sun Jan 01 00:00:00 EST 1989

OSTI ID:6418814

Al-Khamis, T M

A close relationship exists between preventive maintenance scheduling for power generating units and fuel resource allocation. It is realized that unit maintenance scheduling and unit fuel allocation are both dynamic problems and depend upon one another. In this thesis, the two problems are considered together for the first time. Decomposition with the use of duality theory of nonlinear programming is used to solve the fuel-constrained maintenance scheduling problem; generalized Benders' decomposition is found to be a powerful optimization technique for this problem, and, together with its application, is discussed in detail. A model for solving the maintenance scheduling problem without fuel constraints is presented, and generalized Benders' decomposition is used to obtain the solution. A sample problem is presented, and some computational results are given. Two models are presented for the fuel-constrained problem. One model is based on generalized Benders' decomposition. A sample problem is presented to show the applicability of the solution technique; sensitivity analysis for different fuel limitations and different reliability tolerance levels is included with the results. The second model for the fuel-constrained problem uses a two-phased decomposition technique. The application of these two models is discussed.

• Research Organization: Florida Inst. of Tech., Melbourne, FL (USA)
• OSTI ID: 6418814
• Resource Relation: Other Information: Thesis (Ph. D.)
• Country of Publication: United States
• Language: English

Related Subjects

20 FOSSIL-FUELED POWER PLANTS
THERMAL POWER PLANTS
FUEL SUPPLIES
MAINTENANCE
ALLOCATIONS
CONSTRAINTS
CORRELATIONS
ELECTRIC UTILITIES
MANAGEMENT
MATHEMATICAL MODELS
NUMERICAL SOLUTION
RELIABILITY
SCHEDULES
USES
ENERGY SUPPLIES
POWER PLANTS
PUBLIC UTILITIES
200100* - Fossil-Fueled Power Plants- Power Plants & Power Generation