DocumentCode :
862969
Title :
Optimal vegetation maintenance scheduling of overhead electric power distribution systems
Author :
Kuntz, Paul A. ; Christie, Richard D. ; Venkata, Subrahmanyam S.
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Volume :
17
Issue :
4
fYear :
2002
fDate :
10/1/2002 12:00:00 AM
Firstpage :
1164
Lastpage :
1169
Abstract :
Vegetation maintenance involves trimming or removing trees and brush near the overhead conductors to reduce the number of tree-related outages and maintain system reliability. This paper reports a maintenance-scheduling algorithm that determines the optimal location and time for performing vegetation maintenance on overhead distribution feeders. A vegetation failure rate model is developed that quantifies the impact of the maintenance schedule on the reliability of a distribution system. Using this reliability model and a predictive reliability assessment algorithm, the maintenance-scheduling algorithm is formulated as a combinatorial optimization problem that considers different objective functions and constraints. After experimentation with several heuristic search techniques, a hybrid genetic algorithm-hill climbing technique consistently found the highest-quality maintenance schedules. The results from applying the maintenance-scheduling algorithm to a real distribution system are also presented. It is shown that the new maintenance scheduling algorithm can find lower cost and more reliable schedules compared to standard fixed interval schedules.
Keywords :
combinatorial mathematics; genetic algorithms; maintenance engineering; overhead line conductors; power distribution lines; power distribution reliability; power overhead lines; scheduling; combinatorial optimization problem; constraints; heuristic search techniques; hybrid genetic algorithm-hill climbing technique; objective functions; optimal vegetation maintenance scheduling; overhead conductors; overhead distribution feeders; overhead electric power distribution systems; power system reliability; predictive reliability assessment algorithm; reliability model; tree-related outages; Brushes; Conductors; Constraint optimization; Genetics; Maintenance; Prediction algorithms; Predictive models; Reliability; Scheduling algorithm; Vegetation;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2002.804007
Filename :
1046899
Link To Document :
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