Visible to the public Implementation of industrial cloud applications as controlled local systems (CLS) in a smart grid context

TitleImplementation of industrial cloud applications as controlled local systems (CLS) in a smart grid context
Publication TypeConference Paper
Year of Publication2017
AuthorsHenneke, D., Freudenmann, C., Wisniewski, L., Jasperneite, J.
Conference Name2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Date Publishedsep
ISBN Number978-1-5090-6505-9
Keywordscloud computing, CLS devices, collected measurement data, control systems, Controllable Local Systems, data privacy, energy devices, Germany, Human Behavior, human factors, Industrial Cloud Applications match, industrial machines, Logic gates, Meters, power engineering computing, pubcrawl, remotely controlled devices, resilience, Resiliency, Scalability, security, smart grid context, Smart Grid Privacy, Smart grids, smart metering infrastructure, smart meters, smart power grids, wide area networks
Abstract

In Germany, as of 2017, a new smart metering infrastructure based on high security and privacy requirements will be deployed. It provides interfaces to connect meters for different commodities, to allow end users to retrieve the collected measurement data, to connect to the metering operators, and to connect Controllable Local Systems (CLSs) that establish a TLS secured connection to third parties in order to exchange data or for remote controlling of energy devices. This paper aims to connect industrial machines as CLS devices since it shows that the demands and main ideas of remotely controlled devices in the Smart Grid context and Industrial Cloud Applications match on the communication level. It describes the general architecture of the Smart Metering infrastructure in Germany, introduces the defined roles, depicts the configuration process on the different organizational levels, demonstrates the connection establishment and the initiating partners, concludes on the potential industrial use cases of this infrastructure, and provides open questions and room for further research.

URLhttp://ieeexplore.ieee.org/document/8247687/
DOI10.1109/ETFA.2017.8247687
Citation Keyhenneke_implementation_2017