Associated Data Management Services, Uniquely Allows:

• Permits a timely pre-emption, qualification, and location of feeder events (both tripping or non-tripping). Such events may typically be below the threshold of protection or customer complaint, and unable to be efficiently data-mined by conventional means
• Allows more proactive, planned, and informed operational responses which are both cost-effective & safer for crews
• Enhances all measures of customer service delivery & feeder operational performance (reducing SAIDI, SAIFI, and STPIS)
• Reduces associated regulatory penalties

• Capture, categorisation, & location of all ‘abnormal events’ (including non-tripping & repetitive events), many of which are not presently visible by conventional means
• Reduces conventional event reporting uncertainties, allowing an informed asset management response

By noting & trending observed ‘abnormal arcing’ and ‘repetitive arcing’ events:

• investment in maintenance strategies may be optimised
• feeder design reviewed, if appropriate
• overall feeder resilience maximised (e.g. storm resilience via managed vegetation performance)

DFA data assessment permits:

• mid to longer term comparative performance of feeders to be ascertained & plotted
• impacts of each feeder investment to be critically and timely assessed
• on-going investment strategies per feeder to be formulated
• potential reallocation of feeder budgets across wider feeder population
• actions taken prior to incurring adverse fault statistics