DocumentCode
2330034
Title
Intelligent crew and outage scheduling in electrical distribution system by hybrid generic algorithm
Author
Wu, Jaw-shyang ; Lee, Tsung-En ; Cao, Chih-Hao
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Tajen Univ. of Appl. Sci., Pingtung, Taiwan
fYear
2009
fDate
25-27 May 2009
Firstpage
96
Lastpage
101
Abstract
Working outages such as component maintenance/exchange and system extension are important routine works in distribution systems. The scheduling for crew dispatching and customer outages is inherently a discrete, nonlinear, and multiple objective problem. In this paper, a hybrid evolutionary algorithm is exploited to solve the outage scheduling and crew dispatching for distribution system maintenance. Fitness function with practical considerations is proposed. Optimal solution of the date and timing to start the work and the candidate teams to send for the work are solved. The scheduling is capable of the planning for the cases of multiple teams with different get-into time and get-off time for multiple work areas. A practical distribution system is selected to demonstrate the effectiveness of the proposed approach.
Keywords
genetic algorithms; maintenance engineering; power distribution planning; scheduling; component maintenance-exchange; crew dispatching; customer outages; electrical distribution system; fitness function; hybrid evolutionary algorithm; hybrid generic algorithm; intelligent crew scheduling; outage scheduling; system extension; Computer science; Costs; Dispatching; Evolutionary computation; Expert systems; Genetic algorithms; Processor scheduling; Scheduling algorithm; Timing; User interfaces; crew dispatching; genetic algorithm; heuristic rules; intelligent man-machine interface; outage scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-2799-4
Electronic_ISBN
978-1-4244-2800-7
Type
conf
DOI
10.1109/ICIEA.2009.5138177
Filename
5138177
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