Asset Monitoring using Smart Sensing and Advanced Analytics for the Distribution Network

Kulkarni, Shreyas; Ashok, Kavya; Lambert, Frank; Divan, Deepak

doi:10.1109/naps46351.2019.9000254

Asset Monitoring using Smart Sensing and Advanced Analytics for the Distribution Network

Conference · Tue Oct 01 04:00:00 EDT 2019 · 2019 North American Power Symposium (NAPS)

DOI:https://doi.org/10.1109/naps46351.2019.9000254· OSTI ID:1922416

Kulkarni, Shreyas ^[1]; Ashok, Kavya ^[2]; Lambert, Frank ^[2]; Divan, Deepak ^[2]

Georgia Inst. of Technology, Atlanta, GA (United States); Georgia Institute of Technology
Georgia Inst. of Technology, Atlanta, GA (United States)

As the electric grid transitions into a highly distributed and intelligent grid, electric utilities are becoming increasingly concerned with monitoring the health and performance of their distribution assets. As Internet of Things technologies and data analytics become inexpensive and ubiquitous, low-cost asset monitoring becomes more feasible. Moreover, using edge analytics, computations can be off-loaded to these intelligent sensors to report only actionable information to the cloud. This needs to be done in a highly distributed manner using non-intrusive sensors and device physics that seamlessly integrates with legacy infrastructure. Here, this paper reviews existing sensor based solutions, identifies t heir issues, proposes a novel solution by exploring the required attributes and proposes an approach for low-cost distribution transformer health monitoring.

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Research Organization:: Georgia Inst. of Technology, Atlanta, GA (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE)

DOE Contract Number:: OE0000877

OSTI ID:: 1922416

Conference Information:: Journal Name: 2019 North American Power Symposium (NAPS)

Country of Publication:: United States

Language:: English

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References (21)

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