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New Technology Offers Major Enhancements to MV Lines Management Practices


This paper introduces a new and unique technology for the improved management of MV lines. The technology has recently completed a one year programme of review by a local asset management consulting company and is now in its rollout phase in the Australasian region using an innovative life-time support continued-relevance business case model.

Known as Distribution Fault Anticipation [“DFA”] technology it provides a quantum advance for MV line management by providing the user with information to assist the identification of faults even before they cause interruptions. DFA has been demonstrated to detect a wide variety of developing line failures, pre-failures, and other events in real time, providing timely warnings to the asset owner to enable preventative actions.
An important outcome of this technology is that it can determine, characterise, and notify the occurrence of developing issues prior to these being known to the asset owner by conventional means.

Developed collaboratively over some 20 years at the request of the USA power industry and tested over hundreds of feeder-years of service, the techniques employed are such that they operate with extremely low false positive outcomes even in high noise environments, unlike other concepts employing defined level-based triggers. Importantly, the technology is inherently adaptable and remotely-upgradable as refinements are implemented.
The web-based DFA technology reports findings quickly in a simple-to-read code of characterised issues, along with associated timings and other information to determine the nominal type of fault and the location of the reported matter. Reports allow a clear understanding of the issue(s) immediately. Such details on likely fault and location have proven a major boon to DFA users in enhancing the safety and efficiency of standard operational responses, as well as offering a significant contribution to improved customer service delivery, improved regulated line performance statistics, and lowered operational costs.
The paper reviews the technology and assesses its contribution, both in the context of regulatory content and fundamentals of distribution Line Company operational and asset management objectives.

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