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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Uittreksel

The majority of the interruptions in the network of a distribution system operator (DSO) occurs 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 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 improvements of asset management strategies, such as the preventative replacement of cables. The method presented in this paper shows promising results, allowing for greater insight into failure causes.
TaalEngels
Pagina's1432-1441
TijdschriftIEEE Transactions on Power Delivery
Volume34
Nummer van het tijdschrift4
Vroegere onlinedatum8 mrt 2019
DOI's
StatusGepubliceerd - 1 aug 2019

Vingerafdruk

Asset management
Cables
Electric potential
Outages
Hazards
Monitoring
Costs

Citeer dit

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AB - The majority of the interruptions in the network of a distribution system operator (DSO) occurs 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 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 improvements of asset management strategies, such as the preventative replacement of cables. The method presented in this paper shows promising results, allowing for greater insight into failure causes.

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