Enabling a Decentralized Smart Grid Using Autonomous Edge Control Devices

Kulkarni, Shreyas; Gu, Qinchen; Myers, Eric; Polepeddi, Lalith; Liptak, Szilard; Beyah, Raheem; Divan, Deepak

doi:10.1109/jiot.2019.2898837

Enabling a Decentralized Smart Grid Using Autonomous Edge Control Devices

Journal Article · Mon Feb 11 23:00:00 EST 2019 · IEEE Internet of Things Journal (Online)

DOI:https://doi.org/10.1109/jiot.2019.2898837· OSTI ID:1922419

^[1]; Gu, Qinchen ^[2]; Myers, Eric ^[2]; Polepeddi, Lalith ^[2]; ^[2]; Beyah, Raheem ^[2]; ^[2]

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

As a large number of distributed devices are connected to the modern smart grid, the traditional centralized connectivity models fail to provide economic value. These models have relied on sending data to the cloud for processing and receiving commands to exert control actions, resulting in an ‘on-demand system’ with high bandwidth, low latency and an overload of data on the cloud. For realizing a decentralized system, there is a strong need to embed intelligence at the ‘edge of the network’. These intelligent devices, capable of sensing, local data processing and exerting control actions, report only actionable information to the cloud, acting as an edge control node. The system can then function autonomously, without constant cloud inputs, tolerating longer delays in communication, making the overall system ultra-low cost. The Global Asset Monitoring, Management and Analytics (GAMMA) Platform is a novel ultralow- cost, secure platform that operates through a Bluetooth based delay tolerant network. It relies on so-called ‘data mules’ to bridge the last mile connectivity gap in an inherently secure way. Due to this model, the platform requires no in-country certifications, does not rely on a dedicated backhaul technology and is immune to technology migration. This architecture also addresses some gaps identified in traditional IoT-based solutions in remote areas and sparse connectivity. A functional unit of the edge computing node has been built, taking into account various constraints like costs, customizations, data storage, cybersecurity and power management. Here, the platform has been built, deployed and has demonstrated distributed smart grid applications like power quality sensing, automated metering infrastructure and utility asset monitoring.

View Accepted Manuscript (DOE)

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

Sponsoring Organization:: USDOE Office of Electricity (OE)

Grant/Contract Number:: OE0000877

OSTI ID:: 1922419

Journal Information:: IEEE Internet of Things Journal (Online), Journal Name: IEEE Internet of Things Journal (Online) Journal Issue: 5 Vol. 6; ISSN 2327-4662

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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