Maintenance scheduling by using simulated annealing method [for power plants]

Author

Satoh, T. ; Nara, K.

Author_Institution

Fac. of Eng., Hiroshima Univ., Higashihiroshima, Japan

Volume

6

Issue

2

fYear

1991

fDate

5/1/1991 12:00:00 AM

Firstpage

850

Lastpage

857

Abstract

The thermal power plant generator maintenance scheduling problem is addressed. The problem is formulated as a mixed-integer programming problem, and it is solved by using an optimization method known as simulated annealing. Since the simulated annealing method assumes an analogy between a physical multiparticle system and a combinatorial optimization problem, a global minimum can be found with high probability through a careful annealing process. Numerical results on a real-scale test system are given, and the effectiveness of the proposed method is demonstrated

Keywords

electric generators; integer programming; maintenance engineering; scheduling; thermal power stations; combinatorial optimization; generator maintenance scheduling; global minimum; mixed-integer programming; physical multiparticle system; probability; simulated annealing; thermal power stations; Cost function; Land surface temperature; Linear programming; Maintenance; Optimization methods; Power engineering and energy; Power generation; Power system simulation; Random number generation; Simulated annealing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.76735

Filename

76735