Modelling of Ageing Distribution Cable for Replacement Planning

Muhammad Buhari; Victor Levi; Selma Awadallah

doi:10.1109/TPWRS.2015.2499269

Modelling of Ageing Distribution Cable for Replacement Planning

Muhammad Buhari, Victor Levi, Selma Awadallah

Research output: Contribution to journal › Article › peer-review

Abstract

The paper proposes a new reliability model of ageing distribution cable and simulation methodology for prioritization of cable replacement. The proposed reliability model combines IEC cable thermal model, Arrhenius aging model and Weibull probability distribution. Here, Weibull scale parameter is defined through the Arrhenius aging model, in which conductor temperature is governed by the cable thermal model. A novel estimation method for the calculation of Arrhenius model parameters is proposed. The cable reliability model is then incorporated into the developed sequential Monte Carlo simulation procedure and reliability indicators and loss-of-lives are calculated. An industry based cable ranking scheme is further proposed to prioritize individual cable due for replacement. The whole methodology is tested on several medium voltage distribution networks.

Original language	English
Journal	I E E E Transactions on Power Systems
DOIs	https://doi.org/10.1109/TPWRS.2015.2499269
Publication status	Published - 2015

Keywords

Ageing distribution cable, Arrhenius model, cable thermal model, Weibull stochastic process, distribution system reliability, replacement planning

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10.1109/TPWRS.2015.2499269

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title = "Modelling of Ageing Distribution Cable for Replacement Planning",

abstract = "The paper proposes a new reliability model of ageing distribution cable and simulation methodology for prioritization of cable replacement. The proposed reliability model combines IEC cable thermal model, Arrhenius aging model and Weibull probability distribution. Here, Weibull scale parameter is defined through the Arrhenius aging model, in which conductor temperature is governed by the cable thermal model. A novel estimation method for the calculation of Arrhenius model parameters is proposed. The cable reliability model is then incorporated into the developed sequential Monte Carlo simulation procedure and reliability indicators and loss-of-lives are calculated. An industry based cable ranking scheme is further proposed to prioritize individual cable due for replacement. The whole methodology is tested on several medium voltage distribution networks.",

keywords = "Ageing distribution cable, Arrhenius model, cable thermal model, Weibull stochastic process, distribution system reliability, replacement planning",

author = "Muhammad Buhari and Victor Levi and Selma Awadallah",

year = "2015",

doi = "10.1109/TPWRS.2015.2499269",

language = "English",

journal = "I E E E Transactions on Power Systems",

issn = "0885-8950",

publisher = "IEEE",

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AU - Buhari, Muhammad

AU - Levi, Victor

AU - Awadallah, Selma

PY - 2015

Y1 - 2015

N2 - The paper proposes a new reliability model of ageing distribution cable and simulation methodology for prioritization of cable replacement. The proposed reliability model combines IEC cable thermal model, Arrhenius aging model and Weibull probability distribution. Here, Weibull scale parameter is defined through the Arrhenius aging model, in which conductor temperature is governed by the cable thermal model. A novel estimation method for the calculation of Arrhenius model parameters is proposed. The cable reliability model is then incorporated into the developed sequential Monte Carlo simulation procedure and reliability indicators and loss-of-lives are calculated. An industry based cable ranking scheme is further proposed to prioritize individual cable due for replacement. The whole methodology is tested on several medium voltage distribution networks.

AB - The paper proposes a new reliability model of ageing distribution cable and simulation methodology for prioritization of cable replacement. The proposed reliability model combines IEC cable thermal model, Arrhenius aging model and Weibull probability distribution. Here, Weibull scale parameter is defined through the Arrhenius aging model, in which conductor temperature is governed by the cable thermal model. A novel estimation method for the calculation of Arrhenius model parameters is proposed. The cable reliability model is then incorporated into the developed sequential Monte Carlo simulation procedure and reliability indicators and loss-of-lives are calculated. An industry based cable ranking scheme is further proposed to prioritize individual cable due for replacement. The whole methodology is tested on several medium voltage distribution networks.

KW - Ageing distribution cable, Arrhenius model, cable thermal model, Weibull stochastic process, distribution system reliability, replacement planning

U2 - 10.1109/TPWRS.2015.2499269

DO - 10.1109/TPWRS.2015.2499269

M3 - Article

SN - 0885-8950

JO - I E E E Transactions on Power Systems

JF - I E E E Transactions on Power Systems

ER -

Modelling of Ageing Distribution Cable for Replacement Planning

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Keywords

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