Page 40 - CARILEC CE Journal CEMAY2021

INTUITIVE AMI

ANALYTICS FOR GREATER

RELIABILITY AND

EFFICIENT OPERATIONS

By Hugo V. Hodge, JR., MBA, CPQ

INTRODUCTION
Without analytics, electric utilities have been that the waveform monitoring networks will emerge as
blind to much of what’s happening on their a powerful platform for power system monitoring, in
distribution networks. Even with advanced metering parallel with SCADA, WAMS and AMI.”
infrastructure (AMI), a team of data scientists was
required to turn power-quality data into actionable That time has arrived for utilities large and small.
insights for improving grid reliability or business Software like TUNet Grid Reliability Analytics from
operations. Until now. Tantalus performs grid-edge waveform monitoring
A primer published several years ago by an IEEE to provide community-owned utilities with easy-to-
1
Working Group explains that power quality data understand recommendations for:
analytics is what will enable “killer applications” of
AMI data. • Improving operational efficiency and cutting costs
“It is just a matter of time that large-scale • Increasing customer satisfaction
waveform-level data will be made available to utility • Reducing regulatory and hazard risks
companies,” the presentation summarizes. “It is likely • Informing strategic decision-making

1 Power Quality Data Analytics https://grouper.ieee.org/groups/td/pq/data/downloads/What-is-PQ-Data-Analytics.pdf

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