Architecture and Infrastructure Issues in Automatic Meter Reading

Architecture and Infrastructure
Issues in Automatic Meter Reading
(AMR) Networks
DRTS group meeting
What is AMR?
• Automatic Meter Reading
– Correct invoice every month
– New infrastructure for a single application
– Expensive (14 BSEK, Sweden)
– Little value
• Raise energy customer awareness
– ”New” requirement on the AMR infrastructure
– Other applications to come?
– Cheap, slow, old
– The principle used for many years
• Hybrids
– Actual use is a cost-balance choise
• GPRS/GSM/cell data
– Most useful and expensive, good coverage
Cost-effective and scalable
• Tidaholm Energi
– Advanced meters, homogenous (Aidon meter)
– 8-10 parameters, all collected batch-wise (1h)
– 7000 subscribers
• Vattenfall
– Need inexpensive AMI, heterogenous
– Filtering out 1 parameter / month (1m)
– 1 100 000 subscribers (Sweden), 7.8 M overall
• Real-time propagation of updates
– Propagated as raw, or aggregated
– Central and distributed usage of updates
– 9 hours delay of 24h readings  No RT applications
• Is GPRS the solution?
– Cost-effective? Cheaper circuits and data plans.
– Telecom systems are built to scale. Infrastructure exists.
• Is IP the solution?
– IP everywhere: ”Internet of things”
– IP is scalable. Infrastructure exists. Large foot-print?
Envolve project themes
Energy involvement and engagement
End user
awareness of
own energy
Involve next
Awareness of
the status of
the electricity
for societal
• Data modeling (Aug ’10 – Mar ’11)
Understand energy consumption patterns
– Build user behavioral models from data
– Is current data enough to get new knowledge?
– Which sources to fuse?
• Data collection (Aug ’10 – Mar ’11)
Understand architectural needs
– Fusion, where and how?
– Scalability and hierarchy
– Which users of new knowledge?
Data collection pre-study
• How to
– Ensure connectivity
– Enable real-time performance
– Make use of distributed fusion
– Support large-scale, short-interval
data collection and processing
– Support future communication needs
Project proposals
Project: Max Peak Shifting
• Demand-Response decision support
– How far can behavioral adaptation go?
– How far can decision support go?
• Active controller for peak shifting
– Spot price vs. load in home
– Appliances and smart plugs
– Simple user control for decision support, schedule
and policy-based actuation
– Prioritized load groups in home
• Scale up a demonstration model home
– Simulation-based study for large-scale effect
Project: Trends and Alarms
• Use aggregated behavior
– Anomalies in time series
– For individuals or groups
• “Virtual sensors”, “indicators”
– Interoperability and architectural needs?
– Users of the knowledge?
• From sector indicators to overall indicator
– Fuse with other data sources: Retail, Telephone, SOS
SMHI, season, ..
Project: Measure for applications
• Next useful applications (“ next killer apps”)
– What is the very best possible?
– Applications decide what to measure
– Applications drive development by needs
• Data is central
– Data owner, beneficiary, infrastructure
– Derived-knowledge owner
– Flexible and open data infrastructure is needed
Raw data
Project: Magic Advisor
• Capitalize on model of behavioral profiles
– Give advise to move between profiles
– Compare trends with current profile
• Improved model
– Fuse with additional data sources
– Improved real-time and alarms
• Innovative user interface
– Leverage the involvement, multi-modal?
• Added services
– Sub-meter installations for refined profiling
– Better CR for Utility companies
Where is research today?
- A Comparative Study of Data Storage and Processing Architectures for the Smart Grid
Demand and Response
- Demand Side Load Management using a Three Step Optimization Methodology
- Power Demand Shifting with Smart Consumers
- Control Mechanisms for Residential Electricity Demand in SmartGrids
- Dynamic Load Modeling of an HVAC Chiller for Demand Response Applications
- Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain
- Demand Response Architecture- Integration into the Distribution Management System
- Incentive Design for Lowest Cost Aggregate Energy Demand Reduction
- A Unified Solution for Advanced Metering Infrastructure Integration with a Distribution Management System
- Seamless Data Communication and Management over all Levels of the Power System
- High Assurance Smart Grid: Smart Grid Control Systems Communications Architecture
- Facilitating a Generic Communication Interface to Distributed Energy Resources Mapping IEC 61850 to RESTful
- WattDepot: An Open Source Software Ecosystem for Enterprise-scale Energy Data Collection, Storage, Analysis,
and Visualization
- Scalability of Smart Grid Protocols - Protocols And Their Simulative Evaluation For Massively Distributed DERs
- SmartGridLab: A Laboratory-Based Smart Grid Testbed
- Malicious Data Attacks on Smart Grid State Estimation: Attack Strategies and Countermeasures
- Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures
- Smart Grid Privacy via Anonymization of Smart Metering Data
- Survey of Smart Grid Standardization Studies and Recommendations

similar documents