1 1 Smart Grid, Smart Metering and Cybersecurity Prof David Wallom Energy and Environmental ICT Group
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Smart Grid, Smart Metering and CybersecurityProf David Wallom
Energy and Environmental ICT Group
UK Electricity network
Smart Grid
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HPC Engine and Storage
Next Generation Infrastructure
The Smart Grid
High Speed Communications System
Service Restoration
Voltage Control
Condition Monitorin
g/Data Mining
Distribution
System State
Estimation
Distribution Management System
Smarter Distribution
• Distribution System State Estimation
• Service Restoration Algorithms
• Condition Monitoring
• Voltage Control
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myTrustedCloud
• Network topographical detail is exchanged between Distribution and Transmission operators• Network changes infrequent and normally minor
• Regulator requirement for availability of single overall network map with NationalGrid
• Currently an email is sent from DNO -> TNO…
• Introduction of widespread distributed generation will change the requirements• Network changes could be significant and frequent [within minutes or even real-time]
• What systems can we use to share data securely for critical national infrastructure?
• Cloud computing as a paradigm is extremely attractive for activities which have variable loads• Considerable security concerns for the use of shared resources
• Trusted computing allows the use of hardware based security mechanisms to measure and guarantee system state to a user
• Prove that a mix of Cloud & Trusted Computing provide a system with the security and privacy guarantees that serious safety critical industries such as energy will find attractive enough to make use of?
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Investigating domestic load profiles
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DIET – Data Insights against Energy Theft
• ~£400M in theft per year• £8 - £20 per property per year• Smart Metering only commercially
viable by reducing human interaction.
• 300k meters per day, commercial customers
• 48 half-hour kWh readings per day• Details of 200 confirmed theft
events provided by partners ‘on demand’
• Training set of 1/1000 cases
• Scale to near real-time for 50M meters
• ~50k potential theft triggers per day
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Conclusions
• Moving to ‘Smarter Grid’ will be a gradual rather than big bang process– Making the Distribution Network Smart is the first step
– Realising all the new and possibly different use cases for smart grid data usage is an evolving process
• Communication between partners will greatly increase with new network utilisation usecases
• Cryptographically secure Cloud computing is ideally placed to support sharing of information between the many and varied stakeholders within Smart Grid
• The clustering analytics done on domestic and non-domestic data has also opened opportunities with other functions that are necessary to make smart Grid and smart metering a success.