Cyber Physical Energy Systems- - · PDF fileCyber Physical Energy Systems- ... built and...
Transcript of Cyber Physical Energy Systems- - · PDF fileCyber Physical Energy Systems- ... built and...
Faculty of Electrical Engineering & Information TechnologyCommunication Networks InstituteProf. Dr.-Ing. Christian Wietfeldwww.cni.tu-dortmund.de
dortmunduniversity
Cyber Physical Energy Systems-Die Bedeutung zuverlässiger Kommunikationsnetze
für das Smart Grid
Christian Wietfeld
Bochum, 20. November 2014
IKT-Tag
Slide 2
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Smart Market Smart Grid
Liberalization of energymarket:
• Explosion of number of
market participants �
prosumers
• More competition
• Differentiated Pricing
� Production and demandneeds to be balanced at theend of the day!
� Mainly background traffic
Cyber Physical Energy Systems
Physical transformation ofenergy systems
• Explosion of number
distributed energy resources
• Highly volatile energy
production
� The „50-Hz beat“ needs tobe maintained at all times!
� Partially critical foregroundcommunication traffic
Slide 3
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Smart Market Smart GridSmart Meters
Virtual Power Plants
Current hot topic: what are the right communicationnetworking solutions for Cyber Physical Energy Systems?
Wide-Area Monitoring, Protection & Control (WAMPAC)
Specific challenges
Mass market � potentially every household � low cost (Smart Market)
Extended coverage needed � even in basement
Real-time Control � worst case boundaries (Smart Grid)
Blackout resilience � battery-buffered power supply for several hours
Security constraints � no broadcast possible
Long lifecycle � 10-15 years
� Which communication technologies are most suitable?
Slide 4
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Human-to-Human/Web vs. Cyber Physical Systems services
volume / data rate driven
de
lay
/ re
sp
on
se
-tim
e d
rive
n µs
ms
s
min
h
kbit/s 10 kbit/s 100 kbit/s 1 Mbit/s 10 MBbit/s 100 Mbit/s
Voice
Video conferen.
MessagingBrowsing
Streaming
Live TV
Human to Human
Human to Web
„
Statistical service guaranteesBest effort
Classic
• Human-to-Human/-Web traffic mainly volumen/data rate driven
• Best effort plus statistical service guarantees are sufficient.
Slide 5
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
BasicMonitoring
Upgrade
BasicControl
Human-to-Human/Web vs. Cyber Physical Systems services
volume / data rate driven
de
lay
/ re
sp
on
se
-tim
e d
rive
n µs
ms
s
min
h
kbit/s 10 kbit/s 100 kbit/s 1 Mbit/s 10 MBbit/s 100 Mbit/s
Critical Monitoring/
Control.
Machine-type CPS
Statistical service guaranteesWorst-case boundaries
CPS
Example: IEC 61850 specifies a max. delay of 10 ms for time-critical protection actions in the power grid.
CPS traffic in parts also volumen / data rate driven,
but also delay/response-time driven
(plus worst-case boundaries)
Slide 6
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
BasicMonitoring
Upgrade
BasicControl
Human-to-Human/Web vs. Cyber Physical Systems services
volume / data rate driven
de
lay
/ re
sp
on
se
-tim
e d
rive
n µs
ms
s
min
h
kbit/s 10 kbit/s 100 kbit/s 1 Mbit/s 10 MBbit/s 100 Mbit/s
Voice
Video conf.
Messaging.Browsing.
Streaming.
Live TV.
Critical Monitoring/
Control.Human to Human
Human to Web
Machine-type CPS
„
Statistical service guaranteesBest effort
Statistical service guaranteesWorst-case boundaries
Classic
CPS
• CPS network infrastructures need to be 100% ready when needed:
• Normal operation: CPS Monitoring and Control in background
Slide 7
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Human-to-Human/Web vs. Cyber Physical Systems services
volume / data rate driven
de
lay
/ re
sp
on
se
-tim
e d
rive
n µs
ms
s
min
h
kbit/s 10 kbit/s 100 kbit/s 1 Mbit/s 10 MBbit/s 100 Mbit/s
Voice
Video conf.
MessagingBrowsing
Streaming
Live TV
Human to Human
Human to Web
Machine-type CPS
Statistical service guaranteesBest effort
Statistical service guaranteesWorst-case boundaries
Classic
CPS
• CPS network infrastructures need to be 100% ready when needed:
• Normal operation: CPS Monitoring and Control in background
• Incident mitigation: CPS Monitoring and Control in foreground
BasicMonitoring
SW Upgrade
BasicControl
Critical Monitoring/
Control.
Slide 8
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Two strong value chains meet with different expectations….
TelcoEquipmentManufacturers
TelcoNetworkOperators
ServiceProviders:• Telco• Internet
(OTT)• M2M Mass
Markets
Business /Consumers
CPSEquipmentManufacturers
Cyber PhysicalSystemOperators
CPS ServiceProviders:• Energy• Transport• …
Different viewpoints:
• Telco industry may understand CPS operators as „another M2M customer“
• CPS operators understand telco services as „essential componentthey need to fully control“ in order to run their systems properly….
Control: Service priorities, QoS guarantees, network planning, life-cycle support, etc.
Slide 9
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
CPS operators face a „Make or Buy“ decision
Cyber PhysicalSystemOperators
ServiceProviders:EnergyTransport…
CPS Equipment Manufacturers
CPS EquipmentManufacturers
CyberPhysicalSystemOperators
ServiceProviders:EnergyTransport…
Telco value chain
CPS operators take over the controlTelecommunication network operated by CPS operator himself (or subcontracted)
CPS operators relies on control interfaces offered by telco networksTelecommunication services provided by telco service provider
Control: service prioritization, QoS guarantees, life-cycle support, etc.
vs.
Communication network
….
….
MAKE
BUY
Slide 10
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Network Realization Options for CPS applications (1)
Custom-made Networks
Railways(GSM-R)
EnergySystem
Emergency Response(TETRA)
Air TrafficControl
Public Networks
• Traditional option: built and operate ownnetwork:
• Separate frequency bands
• Partially: entirely own technology (TETRA) or technology adaption (GSM-R)
• Lessons-learned:
☺ Technically feasible
� Implicit security value-add: details of technology implementation known only byfew specialists
� Slow integration of State-of-the-Art
� Coverage limitations: public networks still used in addition to dedicated network
� Economic issues:• Market size• Costs
Slide 11
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Network Realization Options for CPS applications (2)
CPS Networks withinpublic infrastructures
Public Networks
CPS-Network 1
CPS-Network 2
• Options for the future:
• Leverage main-stream networking technologies, i.e. LTE
• Complement features where needed to meetadditional requirements plus hardening
• Manage interdependence between „classic“ H2H/H2W and CPS traffic:
• Dedicated CPS QoS support• Statistical service guarantees• Issue: Trust of CPS operator
• Use exclusive physical resources• Clean solution• Issues: Spectrum limitations, Economic
viability
• Leverage virtualization technologies• Enables trade-off between ressource-
efficiency and effective QoS guarantees• On-going development
Slide 12
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Network Realization Options for CPS applications
Custom-made Networks
Multi-PurposeCPS Network
CPS Networks withinpublic infrastructures
Railways(GSM-R)
EnergySystem
Emergency Response(TETRA)
Air TrafficControl
Public Networks
Public Networks
Public Networks
Energy
CPS-Network 2
CPS-Network
Energy CPS 2
CPS ..CPS ..
Ressources (CAPEX/OPEX) Ressources (CAPEX/OPEX)
Network ComplexityNetwork Complexity
Slide 13
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Solution approaches for Cyber Physical Energy Systems
� Power Line Communications:� Leverages existing power line infrastructure � full control� Large-scale Smart Meter deployments (e.g. in Italy)� Issues: interference, capacity, coverage (especially in rural areas)� New OFDM-PLC standard (G3) / Broadband PLC address some issues
� 2G-Cellular Systems� Almost 100% outdoor coverage � suited for rural areas� Issues regarding indoor/ basement coverage and capacity
� Long-term availability � Dependency on overall telco business case
� Dedicated networks in sub-GHz bands (CDMA, TETRA, Mesh)� Full control of network deployment� Larger-scale deployments in place� Issues: License ownership (country-specific rules), long-term availability of
technology, capacity
How can LTE fit in?
LTE can provide capacity and coverage with long life cycle ahead
Slide 14
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
dout
hBS
h'MS
ExteriorWall
din
BasementCeiling
Grounddtw
εtw, σtw
BS
MS
dbwεbw, σbw
Basement
Ground Floor
Indoor Outdoor
InstallationLocations
Channel model extensions for basement coverage analysis (1)
C. Hägerling, C. Ide and C. Wietfeld, "Coverage and Capacity Analysis of Wireless M2M Technologies for Smart Distribution Grid Services", 5th
IEEE International Conference on Smart Grid Communications (SmartGridComm 2014), Venice, Italy, Nov. 2014.
Extended Channel Propagation Modeling for new scenarios
� Performance evaluation of wireless technologies for smart metering and demand side management based on ray tracing analysis and radio propagation channel models for building penetration
� Proposed extensions depending on base station height, carrier frequency and basement ceiling characteristics
Small Scale Scenario (House)
Slide 15
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Channel model extensions for basement coverage analysis (2)
C. Hägerling, C. Ide and C. Wietfeld, "Coverage and Capacity Analysis of Wireless M2M Technologies for Smart Distribution Grid Services", 5th
IEEE International Conference on Smart Grid Communications (SmartGridComm 2014), Venice, Italy, Nov. 2014.
Extended Channel Propagation Modeling for new scenarios
� Extensions of radio propagation channel models (HATA, WINNER, etc.) for building penetration, especially deep indoor and basement coverage
� Validation with simulation (raytracing) and measurements
Slide 16
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Quantification of coverage advantages at 450 MHz
� GHz-bands not suitable for basement coverage
� Using the 450 MHz means (compared to 800 MHz):
� No new BS sites needed (reuse existing base station sites) or
� 60% less base stations
Building Penetration Path Loss (Outdoor/Indoor/Basement)
C. Hägerling, C. Ide and C. Wietfeld, "Coverage and Capacity Analysis of Wireless M2M Technologies for Smart Distribution Grid Services", 5th
IEEE International Conference on Smart Grid Communications (SmartGridComm 2014), Venice, Italy, Nov. 2014.
Installation Scenarios Smart Grid Devices
Basement
Indoor Outdoor
2
3
1
Ground
Indoor Pathloss @ 800 MHz in the range of Basement Pathloss @ 450 MHz
Slide 17
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
LTE standardization targets CPS-friendly features (Rel 12)
� Low-cost implementations for MTC:
� Massive MTC connections with reduced signaling overhead for frequent transmissions
� Link budget enhancements for indoor penetration (up to 20 dB)
� Time diversity (� low data rates)
� Extensive HARQ
� Power boosting
� Improved system capacity
� Higher order modulation schemes (up to 256 QAM)
� 3D MIMO beam forming
� Carrier aggregation to up to 450 MHz
� Enhancement for Coordinated Multi-Point (eCoMP) to improve the cell edge data rate
Slide 18
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
SDN-based Industrial Internet for Smart GridsWork of DFG Research Group 1511 „Protection and Control Systems for Smart Grids “ and the EU-FP7-Project SmartC2Net
[1] Dorsch, N., Kurtz, F., Georg, H., Hägerling, C. and Wietfeld, C. "Software-Defined Networking for Smart Grid Communications: Applications, Challenges and Advantages", 5th IEEE InternationalConference on Smart Grid Communications (SmartGridComm 2014), Venice, Italy, Nov. 2014.
[2] N. Dorsch, B. Jablkowski, H. Georg, O. Spinczyk and C. Wietfeld, „Analysis of Communication Networks for Smart Substations Using a Virtualized Execution Platform“, IEEE International Conferenceon Communications (ICC), Sydney, Australia, Jun. 2014.
[3] Georg, H., Müller, S.C., Rehtanz, C. and Wietfeld, C., "Analyzing Cyber-Physical Energy Systems: the INSPIRE Co-Simulation of Power and ICT Systems Using HLA", IEEE Transactions on IndustrialInformatics, vol. PP, no. 99, Jun 2014.
Dataplane
Controlplane
Applicationplane
Southbound
API
Northbound
API
OpenFlowProtocol
Management (IEC 61850 MMS)
Measurements (IEC 61850) SampledValues
Protection and Control (IEC 61850 GOOSE)
Fast Fail-over
Monitoring
Load Balancing
East-West-bound API
IEC 61850–Smart Grid Communications:• Monitoring• Control• Real-time constraints (ms)
New Northbound Interface � Smart Grid specific Flows with differentiatedQoS characteristics
SDN Controller executes ressource reservations and error
handling in a self-organized way[1]
Virtualization of SDN Controllers in Edge
Cloud � high availability [2]
Validation with hybrid Energy andCommunication System Simulation [3] andinterdisciplinary test beds [1]
Slide 19
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
Conclusions
� Cyber Physical Energy Systems push requirements for real-time, highly reliable communication services to a new limit
� Smart Grid operators demand control of communication networks and their long-term evolution as mission-critical component of their infrastructure
� LTE at subGHz (450 MHz) is a strong candidate to provide sustainable wireless solutions for Cyber Physical Energy Systems
� CPS-specific LTE implementations focus on reliability and QoS and not on volume only
� SDN technologies are a candidate to provide appropriate control interfaces to CPS operators
Slide 20
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
� Acknowledgement:
� FP7 Project SmartC2Net
� DFG Research Group FOR 1511
� DFG SFB 876
� Contact: [email protected]
Thank you very much for your attention!
Looking forward to your questions!
Slide 21
dortmunduniversity
Communication Networks InstituteProf. Dr.-Ing. C. Wietfeld
Cyber Physical Energy Systems
TU Dortmund‘s ComNets Institute (CNI) in a nutshell
� Team of 20+ full-time researchers and 30 students (75 %third party funded)
� Research focus: highly reliable wireless networks forCyber Physical Systems (MAC-App) in energy, transportand production/logistics
� Model-driven research methodology:
• Interdisciplinary, cross-layer system modelling and multi-scalesystem simulation
• Sophisticated Lab (2G-4G network emulators, wireless channelemulators, SDR, SDN) and Outdoor Testing Site with researchlicenses at 400MHz to 2,6 GHz
� On-going contributions to standardization (IETF, ISO/IEC)and open source projects (Omnet)
� Since 2008: 7 Int‘l „Best Paper“ Awards
� Award-winning spin-off comnovo (SME)
LTE
Head of institute and contact:Prof. Dr.-Ing. Christian Wietfeld, [email protected], www.cni.tu-dortmund.de