Smart Grid, Smart City

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Smart Grid, Smart City

• National Energy Efficiency Initiative

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Key supplementary information

• Consortium structure
• Location
• Experimental design

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Consortium structure
Lead Proponent
DEWHA

Partner 1
Partner 2
Partner 3
Partner n
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Consortium structure - Partners

• Retailer(s)
• Government (state and local)
• Community / Consumer groups
• Academia/Research
• Consultancies
• Equipment vendors ..

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Location

• Geographical focal point
• Contained within a single distribution network
• Representative of the wider community
• Representative of the wider network urban,
  suburban, rural feeders

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Location Required information

• Geography
• Climate
• Demography for end use types (resi, SME,
  industrial) including where possible end use
  appliance break down
• Infrastructure
• Current network configuration, utilisation,
  reliability indices etc
• Established communications
• Water/gas
• Distributed generation, large scale renewables

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Experimental design Customer applications

• Tariffs Critical peak price, time of use
  tariff, real time pricing, inverted block
• Communication technologies In home display, web
  portal, colour orb
• Controls Programmable thermostats, automated
  appliances, home energy controller
• Others
• Incentives
• Marketing

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Experimental design Customer applications
Indicative only
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Experimental design Measurement and modelling

• Considerable focus on product trialing for
  cost/benefit analysis and real world at-scale
  application
• Results need to be applicable in other parts of
  the country
• Requires statistical analysis of network and
  demographics
• May be enhanced by appropriate modelling
• Some smaller trials such as storage / EV can be
  significantly enhanced through modelling

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Experimental design IVVC / CVR

• Rigorous measurement of CVR factor (?kW/?V ,
  ?kVAr/?V ) by feeder type and by end use
• Determine the business case (if one exists)
• Measure and report on improvement, variation,
  issue and customer response
• Interact with Regulatory Working group on
  changes to rules (if a positive case exists)

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Experimental design FDIR

• Methods to address uncertainty in costs and
  benefits
• Methods to be used for different types of
  network configurations
• Algorithm and control process development
• Dealing with incentives for wider scale rollout

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Experimental design Distributed storage

• Methods to identify and analyse the magnitude
  of storage benefits
• Determine the business case for a wider rollout
  (if one exists)
• Advance algorithm and control process
  development
• Determine customer response to storage

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Experimental design EV support

• Business case development for EVs focusing on
  network values
• Determine customer response to use of EVs for
  network activities
• Measure the impact of EVs on network demand
• Advance algorithm and control process
  development
• Deal with plug-in hybrids vs EVs

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Experimental design Substation and feeder
monitoring

• Determine the cost/benefit of substation/feeder
  monitoring
• Methods for optimising O/M and determination of
  asset improvements

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Experimental design WAM

• Determine the cost/benefit of WAM technologies
  such as phasor measurement units
• Verification of technical benefits
• Algorithm development to increase acceptance
  and usefulness of measured data

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Experimental design DG support

• Demonstrate how applications will allow
  increased penetration of DG
• Verification of technical and environmental
  benefits
• Customer engagement for billing and data
  display of DG output
• Process to ensure network protection, security
  and safety requirements are meet

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Experimental design AMI

• Management of AMI rollout including upgrades to
  switchboards etc
• Determination of communication systems
• Back office systems development or use
• Consumer engagement with particular emphasis on
  installation and security concerns