Situational Awareness Using Edge-Computing Enabled Internet of Things for Smart Grids
| Autor: | Mahshid Rahnamay-Naeini, Abul Hasnat, Adetola Adeniran, Jakir Hossain, Hana Khamfroush |
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| Rok vydání: | 2019 |
| Předmět: |
Focus (computing)
Smart grid Situation awareness Computer science 020209 energy Distributed computing Reliability (computer networking) 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020206 networking & telecommunications 02 engineering and technology Enhanced Data Rates for GSM Evolution Edge computing |
| Zdroj: | GLOBECOM Workshops |
| DOI: | 10.1109/gcwkshps45667.2019.9024632 |
| Popis: | Edge computing provides an ideal platform to enable many critical and time-sensitive applications in monitoring and operation of critical cyber-physical systems, such as smart grids. In this paper, we consider one of the key operations for smart grid’s reliability, which is situational awareness and discuss the role that the edge computing can play to enhance this operation by providing distributed state estimation (DSE) locally at the edge nodes. We specifically focus on the network of the phasor measurement units (PMUs) as an example of the industrial internet of things in smart grids and discuss the edge-computing platform architecture to enable data analytics for DSE using the PMU time-series. We discuss that it is important to consider the physics of the smart grid in designing the edge-computing layer. As an example, we present a data-driven method for detecting power line trips using the PMU data and the designed physics-aware edge-computing platform. |
| Databáze: | OpenAIRE |
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