Cost effective replacement of power cables by stochastic dynamic programming approach

Swati Sachan; Chengke Zhou; Geraint Bevan; Babakalli Alkali

doi:10.1109/CMD.2016.7757820

Cost effective replacement of power cables by stochastic dynamic programming approach

Swati Sachan, Chengke Zhou, Geraint Bevan, Babakalli Alkali

Electrical Power Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

100 Downloads (Pure)

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	https://doi.org/10.1109/CMD.2016.7757820
Publication status	Published - Dec 2016

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

Documents and Links

10.1109/CMD.2016.7757820

Sachan, S. et al (2017) Cost effective replacement of power cables by stochastic dynamic programming approach
(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Accepted author manuscript, 622 KB

Fingerprint Dive into the research topics of 'Cost effective replacement of power cables by stochastic dynamic programming approach'. Together they form a unique fingerprint.

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

@inproceedings{4c1452bca0974b9a803fb8ac8ff73f23,

title = "Cost effective replacement of power cables by stochastic dynamic programming approach",

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",

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",

author = "Swati Sachan and Chengke Zhou and Geraint Bevan and Babakalli Alkali",

note = "Acceptance email in SAN AAM: no embargo Exception email in SAN ^Exception status: author email in SAN; agreed no exception can be applied (library exception review, October 2018)",

year = "2016",

month = dec,

doi = "10.1109/CMD.2016.7757820",

language = "English",

booktitle = "International Conference on Condition Monitoring and Diagnosis (CMD), 2016",

publisher = "IEEE",

}

TY - GEN

T1 - Cost effective replacement of power cables by stochastic dynamic programming approach

AU - Sachan, Swati

AU - Zhou, Chengke

AU - Bevan, Geraint

AU - Alkali, Babakalli

N1 - Acceptance email in SAN AAM: no embargo Exception email in SAN ^Exception status: author email in SAN; agreed no exception can be applied (library exception review, October 2018)

PY - 2016/12

Y1 - 2016/12

N2 - 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

AB - 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

KW - XLPE insulation

KW - dynamic programming

KW - failure analysis

KW - power cable insulation

KW - power cable testing

KW - power distribution faults

KW - power distribution planning

KW - power distribution reliability

KW - stochastic processes

KW - NHPP, XLPE cable

KW - failure distribution

KW - insulation degradation level

KW - nonhomogenous Poisson process model

KW - power cables

KW - stochastic degradation model

KW - stochastic dynamic programming model

KW - unplanned outage

KW - degradation

KW - reliability

KW - cable

KW - cost

KW - maintenance

KW - planning

KW - replacement

U2 - 10.1109/CMD.2016.7757820

DO - 10.1109/CMD.2016.7757820

M3 - Conference contribution

BT - International Conference on Condition Monitoring and Diagnosis (CMD), 2016

PB - IEEE

CY - Xi'an

ER -