Analyzing parameters that affect the reliability of low voltage cable grids and their applicability in asset management

Maikel Klerx (Corresponding author), Johan Morren, Han Slootweg (Corresponding author)

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1 Citation (Scopus)
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Abstract

The majority of interruptions in the network of a distribution system operator (DSO) occur at low voltage (LV) levels. Although the number of affected customers is less than that for medium voltage level interruptions, contribution to the annual customer minutes lost is considerable, and the yearly costs of solving the outages are high. Underground LV cables cannot be visually inspected, and monitoring systems are still experimental. In order to improve asset management (AM) for LV cables, it is beneficial for DSOs to be able to perform condition assessments using historical data, in combination with asset and environment data. In this paper, survival analysis is performed using the Cox proportional hazard model. The results of this analysis can be used to identify those variables that predict a relatively high failure probability and to estimate the relative risk of failure for cables. This enables the improvement of AM strategies, such as the preventative replacement of cables. The method presented in this paper shows promising results, allowing for greater insight into the causes of failures.

Original languageEnglish
Article number8663443
Pages (from-to)1432-1441
Number of pages10
JournalIEEE Transactions on Power Delivery
Volume34
Issue number4
Early online date8 Mar 2019
DOIs
Publication statusPublished - 1 Aug 2019

Fingerprint

Asset management
Cables
Electric potential
Outages
Hazards
Monitoring
Costs

Keywords

  • Power distribution
  • asset management
  • big data applications
  • power grids
  • statistical analysis

Cite this

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abstract = "The majority of interruptions in the network of a distribution system operator (DSO) occur at low voltage (LV) levels. Although the number of affected customers is less than that for medium voltage level interruptions, contribution to the annual customer minutes lost is considerable, and the yearly costs of solving the outages are high. Underground LV cables cannot be visually inspected, and monitoring systems are still experimental. In order to improve asset management (AM) for LV cables, it is beneficial for DSOs to be able to perform condition assessments using historical data, in combination with asset and environment data. In this paper, survival analysis is performed using the Cox proportional hazard model. The results of this analysis can be used to identify those variables that predict a relatively high failure probability and to estimate the relative risk of failure for cables. This enables the improvement of AM strategies, such as the preventative replacement of cables. The method presented in this paper shows promising results, allowing for greater insight into the causes of failures.",
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N2 - The majority of interruptions in the network of a distribution system operator (DSO) occur at low voltage (LV) levels. Although the number of affected customers is less than that for medium voltage level interruptions, contribution to the annual customer minutes lost is considerable, and the yearly costs of solving the outages are high. Underground LV cables cannot be visually inspected, and monitoring systems are still experimental. In order to improve asset management (AM) for LV cables, it is beneficial for DSOs to be able to perform condition assessments using historical data, in combination with asset and environment data. In this paper, survival analysis is performed using the Cox proportional hazard model. The results of this analysis can be used to identify those variables that predict a relatively high failure probability and to estimate the relative risk of failure for cables. This enables the improvement of AM strategies, such as the preventative replacement of cables. The method presented in this paper shows promising results, allowing for greater insight into the causes of failures.

AB - The majority of interruptions in the network of a distribution system operator (DSO) occur at low voltage (LV) levels. Although the number of affected customers is less than that for medium voltage level interruptions, contribution to the annual customer minutes lost is considerable, and the yearly costs of solving the outages are high. Underground LV cables cannot be visually inspected, and monitoring systems are still experimental. In order to improve asset management (AM) for LV cables, it is beneficial for DSOs to be able to perform condition assessments using historical data, in combination with asset and environment data. In this paper, survival analysis is performed using the Cox proportional hazard model. The results of this analysis can be used to identify those variables that predict a relatively high failure probability and to estimate the relative risk of failure for cables. This enables the improvement of AM strategies, such as the preventative replacement of cables. The method presented in this paper shows promising results, allowing for greater insight into the causes of failures.

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