Combined genetic algorithm/simulated annealing/fuzzy set approach to short-term generation scheduling with take-or-pay fuel contract

Journal Article · Wed Jan 31 23:00:00 EST 1996 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.485994· OSTI ID:244737

Wong, K P; Wong, Y W ^[1]

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1. Univ. of Western Australia, Nedlands (Australia)

This paper first develops a new formulation for short-term generation scheduling with take-or-pay fuel contract. In the formulation, a fuzzy set approach is developed to assist the solution process to find schedules which meet as closely as possible the take-or-pay contract. The extended formulation is combined with the genetic algorithms and simulated-annealing optimization methods for the establishment of new algorithms for the present problem. The new algorithms are demonstrated through a test example, in which the generation loadings of 13 generators in a practical power system are scheduled in a 24-hour schedule horizon.

• Sponsoring Organization: USDOE
• OSTI ID: 244737
• Report Number(s): CONF-950103--
• Journal Information: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 1 Vol. 11; ISSN 0885-8950; ISSN ITPSEG
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
ENERGY EXPENSES
FUZZY LOGIC
OPERATION
POWER PLANTS
POWER SYSTEMS