Consumer-Oriented Integration of Smart Homes and Smart Grids A Case - - PowerPoint PPT Presentation

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Consumer-Oriented Integration of Smart Homes and Smart Grids A Case - - PowerPoint PPT Presentation

Consumer-Oriented Integration of Smart Homes and Smart Grids A Case for Multicast-Enabled Home Gateways? Sebastian Meiling, Till Steinbach, Moritz Duge and Thomas C. Schmidt moritz.duge@haw-hamburg.de iNET RG, HAW Hamburg


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Consumer-Oriented Integration of Smart Homes and Smart Grids

A Case for Multicast-Enabled Home Gateways?

Sebastian Meiling, Till Steinbach, Moritz Duge and Thomas C. Schmidt moritz.duge@haw-hamburg.de iNET RG, HAW Hamburg – http://www.haw-hamburg.de/inet

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Agenda

  • 1. Introduction & Motivation
  • 2. Multicast-Enabled Home Gateways
  • 3. Deployment Considerations
  • 4. Evaluation
  • 5. Conclusion
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Introduction & Motivation

Smart Grid

measurement and control of energy consumption

  • Smart Meters at customer sites,

Advanced Metering Infrastructure (AMI)

  • load management by intelligent energy consumers

lowering the base load capacity and avoiding peak load

  • requires control of many energy devices (consumers

and generators)

  • load balancing by Demand Side Management (DSM)

decentralized energy production

  • instead of a few big power plants, many small generators
  • operation of Virtual Power Plants (VPP)
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Smart Home and Smart Grid

Smart Home & automation

  • control various (energy) appliances

in households

  • increase comfort and reduce expenses
  • already some deployment

Smart Grid ↔ Smart Home

  • comparable motivations
  • large scale ↔ small scale
  • possible synergies

Yet, there is no interconnection or integration! Introduction & Motivation

Smart Home Control

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Problem Statement

  • integration of Smart Homes requires communication-

access to households

  • dedicated communication infrastructure is expensive
  • no scalable public-network infrastructure for a Smart

Grid integrating Smart Homes available

Introduction & Motivation

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Communication Patterns in a Smart Grid

  • ne-to-many (1:N)
  • device scheduling
  • energy tariff information
  • AMI, DSM and VPP

many-to-many (M:N)

  • cooperative execution of a task
  • decentralized coordination
  • DSM and VPP
  • that is group communication
  • not efficient trough unicast but multicast

Multicast-Enabled Home Gateways

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Contribution of this Work

  • ur concept
  • based on consumer hardware (COTS)
  • integration of Smart Home devices
  • use of existing public networks, i.e. the Internet
  • (hybrid) multicast-enabled home gateways

– overcome limited IP multicast deployment

we show

  • feasibility and performance measurements
  • testbed in the area of Hamburg
  • evaluation of consumer internet connections

Multicast-Enabled Home Gateways

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Smart Grid using Home Gateways

Multicast-Enabled Home Gateways

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Deployment Considerations

Hybrid Multicast

  • overcomes lack of IP multicast deployment
  • application layer multicast using p2p technologies
  • native multicast where available

H Mcast hybrid adaptive multicast framework ∀

  • common multicast API with abstract group naming

scheme

  • adaptive middleware layer for technology abstraction
  • Inter-Domain Multicast Gateways (IMGs)
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Deployment Considerations

Hybrid Multicast

P2P overlay multicast enabled networks

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Evaluation

Evaluation Scenario

  • system performance of home gateways
  • measurement study of consumer Internet connections
  • home gateway

– standard consumer WLAN router – MIPS processor (400 MHz) – 32MB RAM – OpenWRT Linux operating system

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Evaluation

System Performance

test setup

  • two home gateways (sender and receiver)
  • direct connection via 100 MBit/s Ethernet
  • metrics: packet throughput and loss, CPU utilization
  • constraints of hardware resources

technologies under test

  • native IP multicast (Native IPM) as reference
  • H Mcast IP multicast (IPM)

  • H Mcast application layer multicast via Scribe (ALM)

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Evaluation

System Performance

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Evaluation

System Performance

CPU performance is a limit to throughput

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Evaluation

Hamburg testbed

test setup

  • 30 nodes
  • 9 Internet service

providers (ISPs)

  • metropolitan area of

Hamburg, Germany metric under test

  • one-way message delays
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Evaluation

Distributed Measurement

HAW

horizontal bars median thick bars 25% - 75% thin bars last value within: thick bar + 1.5 × thick bar

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Conclusion

Conclusion

  • results show high packet throughput on COTS
  • end-to-end delays over ISP connections

– surprisingly high for the regionally confined

scenario

– heavily depend on provider association – differ considerably between ISPs

  • standard consumer embedded hardware more than

sufficient for Smart Grid applications (AMI, DSM, and VPP)

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Conclusion

Outlook

  • ur ongoing research
  • measurements and experiments in our Hamburg

testbed

  • analyze impacts of consumer Internet connectivity on

(future) Smart Grid applications

  • develop decentralized coordination schemes for

energy devices

  • other considerations

– privacy, security, integrity – interfaces, other technologies (IEC 61850)

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Questions? Thank you!

http://www.haw-hamburg.de/inet

http://www.smartpowerhamburg.de

SMART POWER HAMBURG