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