GridStat high availability, low latency, and adaptive sensor data delivery for smart generation and transmission

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Electric power grids around the world are becoming increasingly stressed by factors including inadequate transmission growth, system operators and power engineers retiring in large numbers, and integration of renewable sources of energy whose physics is different from well-known sources such as hydro and coal. All these factors, and more, can be mitigated by greatly increased sharing of sensor data between utilities (and independent system operators [ISOs]/regional transmission organizations [RTOs]) in a grid, something that is extremely limited in power grids today. This is an important step in helping make grids more resilient, because inadequate situational awareness resulting from little interutility data sharing has been a major contributing factor in virtually all recent major blackouts. In such blackouts, there are always a few physical or operational root causes that are blamed. However, due to the poor situational awareness, the grids’ operators are unaware of emerging problems until it is too late to prevent a blackout.

Original languageEnglish
Title of host publicationSmart Grids
Subtitle of host publicationClouds, Communications, Open Source, and Automation
PublisherCRC Press
Pages55-114
Number of pages60
ISBN (Electronic)9781482206128
ISBN (Print)9781482206111
DOIs
Publication statusPublished - 1 Jan 2017

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Sensors
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coal
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energy
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Cite this

Bakken, David E. ; Gjermundrød, Harald ; Dionysiou, Ioanna. / GridStat high availability, low latency, and adaptive sensor data delivery for smart generation and transmission. Smart Grids: Clouds, Communications, Open Source, and Automation. CRC Press, 2017. pp. 55-114
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GridStat high availability, low latency, and adaptive sensor data delivery for smart generation and transmission. / Bakken, David E.; Gjermundrød, Harald; Dionysiou, Ioanna.

Smart Grids: Clouds, Communications, Open Source, and Automation. CRC Press, 2017. p. 55-114.

Research output: Chapter in Book/Report/Conference proceedingChapter

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