Title :
Unit maintenance scheduling in open systems using genetic algorithm
Author :
Wang, Yaoyu ; Handschin, Edmund
Author_Institution :
Dept. of Electr. Eng., Dortmund Univ., Germany
Abstract :
The unit maintenance scheduling problem in open power systems is quite different from that in traditional centralized power systems. In this paper, based on the analysis of the new characteristics of unit maintenance scheduling activities in an open environment, a new optimization mathematical model with multiple optimization components is proposed for the unit maintenance scheduling problem in open systems. A figurative and efficient genetic algorithm with overlapped and discontinuous genetic building blocks is specially designed to solve the problem considered. Simulation results have shown the correctness of the new mathematical model and the effectiveness of the new genetic algorithm
Keywords :
genetic algorithms; maintenance engineering; power system planning; scheduling; genetic algorithm; genetic building blocks; multiple optimization components; open power systems; optimization mathematical model; unit maintenance scheduling; Environmental economics; Genetic algorithms; Mathematical model; Open systems; Optimization methods; Power generation economics; Power system analysis computing; Power system economics; Power system modeling; Power system planning;
Conference_Titel :
Transmission and Distribution Conference, 1999 IEEE
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-5515-6
DOI :
10.1109/TDC.1999.755374
