Abstract
A new replacement analysis methodology is developed and demonstrated to determine system-level component replacement schedules for electricity distribution systems composed of sets of heterogeneous assets. The proposed model is an iterative combined dynamic programming and integer programming approach to obtain cost-efficient system-level component replacement schedules with the objective of minimizing the total net present value of unmet demand (considering the system availability), maintenance, and purchase costs over a finite planning horizon. There is an annual budget limiting total expenditures for maintenance and replacement costs that limits the selection of component replacement schedules.
Original language | English (US) |
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Pages (from-to) | 318-339 |
Number of pages | 22 |
Journal | Engineering Economist |
Volume | 53 |
Issue number | 4 |
DOIs | |
State | Published - Oct 2008 |
All Science Journal Classification (ASJC) codes
- Education
- Economics and Econometrics
- Engineering(all)