Abstract
A new replacement analysis methodology is developed to determine system-level component replacement schedules for radial electricity distribution configurations 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 unavailability), maintenance and purchase costs over a finite planning horizon. There is an annual budget limiting total expenditures for maintenance and replacement costs which limits the selection of component replacement schedules. The method is demonstrated in the replacement analysis for a radial distribution configuration.
| Original language | English (US) |
|---|---|
| Pages | 1641-1646 |
| Number of pages | 6 |
| State | Published - 2008 |
| Event | IIE Annual Conference and Expo 2008 - Vancouver, BC, Canada Duration: May 17 2008 → May 21 2008 |
Other
| Other | IIE Annual Conference and Expo 2008 |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 5/17/08 → 5/21/08 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Software
- Industrial and Manufacturing Engineering
Keywords
- Power systems
- Reliability
- Replacement analysis