Title :
A new method for unit maintenance scheduling based on genetic algorithm
Author_Institution :
Dept. of Electron. Eng., Yung Ta Inst. of Technol. & Commerce, PingTong, Taiwan
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;
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
DOI :
10.1109/PES.2003.1267176
