DocumentCode :
2591607
Title :
Resource Management for Distribution System Maintenance Using Optimized Risk Reduction
Author :
Li, Yuan ; Yeddanapudi, S. ; McCalley, James D. ; Chowdhury, Ali A. ; Jewell, Ward
Author_Institution :
Iowa State Univ., Ames, IA
fYear :
2006
fDate :
11-15 June 2006
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduces a risk-based optimal strategy for distribution asset management preventive maintenance resource allocation. Three hierarchical decision problems are addressed: total resource planning for maintenance, resource allocation to maintenance categories, and task selection within each category. The Lagrange relaxation and dynamic programming methods are used to solve these three level problems efficiently. A test system is provided that considers resource allocation for wood poles, reclosers, and tree trimming
Keywords :
dynamic programming; poles and towers; power distribution planning; power system management; preventive maintenance; relaxation theory; risk analysis; Lagrange relaxation; asset management; distribution system; dynamic programming; hierarchical decision problems; preventive maintenance; reclosers; resource allocation; resource management; resource planning; risk reduction; risk-based optimal strategy; task selection; tree trimming; wood poles; Asset management; Costs; Dynamic programming; Lagrangian functions; Poles and towers; Power system management; Power system reliability; Preventive maintenance; Resource management; Risk management; Lagrange relaxation; asset management; budget planning; dynamic programming; optimization; risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
Type :
conf
DOI :
10.1109/PMAPS.2006.360279
Filename :
4202291
Link To Document :
بازگشت