DocumentCode :
2642361
Title :
The application of the hybrid intelligent algorithm in distribution devices maintenance scheduling
Author :
Zhang, Jian-hua ; Cui, Shan-Shan ; Liu, Wen-Xia
Author_Institution :
Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
fYear :
2010
fDate :
19-22 April 2010
Firstpage :
1
Lastpage :
6
Abstract :
The scientific, rational and practical electrical devices maintenance scheduling are helpful to improve the stability of power system operation and reduce the network damage caused by the equipment repair. This paper presents a new optimal algorithm to electrical devices maintenance scheduling optimal model. It sufficiently combines the advantages of the complex method and the genetic algorithm and remedies the drawbacks of each algorithm. In the hybrid intelligent algorithm, the complex method is embedded in genetic algorithm, being treated as one operator of the genetic algorithm. The new algorithm not only has the characters of the easy convergence and the powerful local optimization of the complex method, but also has the features of the powerful global search of the genetic algorithm. The practical examples verify the correctness and the validity of the hybrid intelligent algorithm and the superiorities comparing to the genetic algorithm.
Keywords :
Convergence; Genetic algorithms; Heuristic algorithms; Hybrid power systems; Iterative algorithms; Maintenance; Power system modeling; Power system reliability; Power system stability; Scheduling algorithm; complex method; distribution networks; genetic algorithm; maintenance scheduling; power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition, 2010 IEEE PES
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
978-1-4244-6546-0
Type :
conf
DOI :
10.1109/TDC.2010.5484721
Filename :
5484721
Link To Document :
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