Cost effective replacement of power cables by stochastic dynamic programming approach

Swati Sachan; Chengke Zhou; Geraint Bevan; Babakali Alkali

Cost effective replacement of power cables by stochastic dynamic programming approach

Swati Sachan
, Chengke Zhou
, Geraint Bevan
, Babakali Alkali

Management Sciences

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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	2016 International Conference on Condition Monitoring and Diagnosis
Publisher	IEEE
ISBN (Print)	974297521
Publication status	Published - 2016
Event	2016 International Conference on Condition Monitoring and Diagnosis - Xi’an, China, Xi’an, China Duration: 25 Aug 2016 → 28 Aug 2016

Conference

Conference	2016 International Conference on Condition Monitoring and Diagnosis
Abbreviated title	CMD 2016
Country/Territory	China
City	Xi’an
Period	25/08/16 → 28/08/16

Cite this

@inproceedings{65beb09f895c44319e38a62a0a5668c6,

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.",

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

year = "2016",

language = "English",

isbn = "974297521",

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

publisher = "IEEE",

address = "United States",

note = "2016 International Conference on Condition Monitoring and Diagnosis , CMD 2016 ; Conference date: 25-08-2016 Through 28-08-2016",

}

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, Babakali

PY - 2016

Y1 - 2016

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.

M3 - Conference contribution

SN - 974297521

BT - 2016 International Conference on Condition Monitoring and Diagnosis

PB - IEEE

T2 - 2016 International Conference on Condition Monitoring and Diagnosis

Y2 - 25 August 2016 through 28 August 2016

ER -

Cost effective replacement of power cables by stochastic dynamic programming approach

Abstract

Conference

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Cite this