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Enabling a Decentralized Smart Grid Using Autonomous Edge Control Devices
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DOI：10.1109/JIOT.2019.2898837.png)
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Abstract
En 中文
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, and making the overall system ultralow cost. The global asset monitoring, management, and analytics 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 Internet of Things-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. The platform has been built, deployed and has demonstrated distributed smart grid applications like power quality sensing, automated metering infrastructure, and utility asset monitoring.
Keywords:
Autonomous control
Bluetooth
cybersecure
delay tolerant network (DTN)
distributed assets
intelligent edge devices
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