DocumentCode
403283
Title
A new method for unit maintenance scheduling based on genetic algorithm
Author
Leou, Rong-Ceng
Author_Institution
Dept. of Electron. Eng., Yung Ta Inst. of Technol. & Commerce, PingTong, Taiwan
Volume
1
fYear
2003
fDate
13-17 July 2003
Firstpage
246
Abstract
This paper presents a genetic algorithm to seek the optimal solution of the unit maintenance scheduling. For the maintenance scheduling, reliability is as important as cost reduction. Therefore, the objective function of this algorithm considers the effect of reliability as well as economy. This formulation can find a most economic solution under the situation of enough spinning reserve. On the contrast, if the spinning reserve is tight, a compromising solution between reliability and economy can be obtained.
Keywords
cost reduction; genetic algorithms; maintenance engineering; power generation economics; power generation reliability; power generation scheduling; cost reduction; economy; genetic algorithm; reliability; spinning reserve; unit maintenance scheduling; Costs; Genetic algorithms; Linear programming; Maintenance; Power generation; Power generation economics; Power system planning; Power system reliability; Simulated annealing; Spinning;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN
0-7803-7989-6
Type
conf
DOI
10.1109/PES.2003.1267176
Filename
1267176
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