Abstract

Quantifying the health condition of bare overhead conductors is an enabler for an effective condition-based risk management of the power distribution network. This paper presents a health index calculation methodology derived for the bare overhead conductors in the Australian power distribution networks. Proposed methodology is based on a customizable weighted sum algorithm and uses a set of input parameters, which are readily available for the asset managers. Industry experts’ experience and conductor failure statistics are used for determining the most significant input parameters and corresponding numerical values. Finally, a methodology for correlating the conductor health index with the probability of failure is demonstrated on a set of copper and aluminum conductors. The methodologies developed in this paper could improve the accuracy and effectiveness of condition monitoring and asset management of bare overhead conductors in the power distribution networks.

Highlights

  • Overhead conductor is one of the most valuable assets in electricity networks

  • We report a methodology developed for quantifying the health condition of bare overhead conductors in the Australian distribution networks

  • We have developed a practical health index method suitable for application to Australian distribution networks, which can be extended to any other networks as well

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Summary

INTRODUCTION

Overhead conductor is one of the most valuable assets in electricity networks. In Australia, Energy Networks Australia (ENA) members have almost 800,000 circuit-kilometres of overhead conductor in service and they are valued over several billion dollars. We report a methodology developed for quantifying the health condition of bare overhead conductors in the Australian distribution networks. We surveyed current Australian industry practices in operation, inspection, and asset management of overhead distribution conductors. Based on these investigations, we have developed a practical health index method suitable for application to Australian distribution networks, which can be extended to any other networks as well. After completing a comprehensive study, we have developed a health index calculation methodology for Australian DNSPs. The computed health index values are correlated with probability of conductor failure.

STATISTICS OF BARE OVERHEAD CONDUCTORS IN AUSTRALIAN DISTRIBUTION NETWORKS
WEIGHTED-SUM HEALTH INDEX
CONDUCTOR HEALTH INDEX AND ITS PROBABILITY OF FAILURE
Findings
CONCLUSION

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