Abstract
In this paper, we have presented a stochastic dynamic programming model to optimize the cost of proactive replacement of power cables. The proposed methodology can be implemented on cables with known failure distribution and insulation degradation level; the methodology to estimate both of the elements is based on previously developed Non-homogenous Poisson Process model (NHPP) and stochastic degradation model, respectively. The model gives the sequence of decisions for each year of the planning horizon such that it optimizes the overall cost and improves the reliability by lowering the frequency of unplanned outage. The model was tested on a XLPE cable
| Original language | English |
|---|---|
| Title of host publication | International Conference on Condition Monitoring and Diagnosis (CMD), 2016 |
| Place of Publication | Xi'an |
| Publisher | IEEE |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509033980 |
| DOIs | |
| Publication status | Published - Dec 2016 |
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Keywords
- XLPE insulation
- dynamic programming
- failure analysis
- power cable insulation
- power cable testing
- power distribution faults
- power distribution planning
- power distribution reliability
- stochastic processes
- NHPP, XLPE cable
- failure distribution
- insulation degradation level
- nonhomogenous Poisson process model
- power cables
- stochastic degradation model
- stochastic dynamic programming model
- unplanned outage
- degradation
- reliability
- cable
- cost
- maintenance
- planning
- replacement
Cite this
Sachan, S., Zhou, C., Bevan, G., & Alkali, B. (2016). Cost effective replacement of power cables by stochastic dynamic programming approach. In International Conference on Condition Monitoring and Diagnosis (CMD), 2016 IEEE. https://doi.org/10.1109/CMD.2016.7757820