Implementation of industrial cloud applications as controlled local systems (CLS) in a smart grid context
Title | Implementation of industrial cloud applications as controlled local systems (CLS) in a smart grid context |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Henneke, D., Freudenmann, C., Wisniewski, L., Jasperneite, J. |
Conference Name | 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
Date Published | sep |
ISBN Number | 978-1-5090-6505-9 |
Keywords | cloud 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. |
URL | http://ieeexplore.ieee.org/document/8247687/ |
DOI | 10.1109/ETFA.2017.8247687 |
Citation Key | henneke_implementation_2017 |
- power engineering computing
- wide area networks
- smart power grids
- smart meters
- smart metering infrastructure
- Smart Grids
- Smart Grid Privacy
- smart grid context
- security
- Scalability
- Resiliency
- resilience
- remotely controlled devices
- pubcrawl
- Cloud Computing
- Meters
- Logic gates
- industrial machines
- Industrial Cloud Applications match
- Human Factors
- Human behavior
- Germany
- energy devices
- data privacy
- Controllable Local Systems
- control systems
- collected measurement data
- CLS devices