AMR Advanced Applications Taking it a Step Beyond

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AMR Advanced Applications Taking it a Step
Beyond

• David Glenwright
• AMR Operations Strategies
• NARUC
• July 15, 2007

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Topics

• Background
• AMR at PECO
• Advanced Applications
• Outage Management
• Theft Detection
• Engineering Studies
• Other Opportunities

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Exelon / PECO Background

• Subsidiary of Exelon Corp (NYSE EXC)
• Serving southeastern Pa. for over 100 years
• Electric and Gas Utility
• 2,400 sq. mi. service territory
• Philadelphia and the four surrounding counties
• Population of approx. 4 million people

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Customer Profile
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Scope of AMR at PECO

• PECOs AMR installation project lasted from 1999
  to 2003
• A Cellnet Fixed Network solution was selected.
• 99 of meters are read by the network
• Others are drive-by and MV-90 dial-up
• During the project, meters were activated at a
  max rate of 143,500 per month.
• Installation was performed by PECO, Cellnet, and
  VSI.
• Cellnet manages the network, performs meter
  maintenance and provide data to PECO.
• All meters are read daily. Additional features
  include on-demand reads, and event processing.

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Cellnet AMR Network Structure
Exelon Applications
National Operations Center (NOC)
System Controller
Cell Master (CM)
MicroCell Controller (MCC)
Wide Area Network
Endpoint devices w/CellNet Radio
Local Area Network
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AMR network components
2.2 M Meters 1.6 M Res. Electric 455 K Res.
Gas 135 K Com. Electric 42K Com. Gas
8,318 MicroCell Controllers
91 Cell Masters
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Business Benefits of AMR
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Outage Management
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Outage Example
TRF-1
TRF-2
TRF-1
TRF-2
CALL-9
CALL-7
CALL-5
CALL-3
CALL-2
CALL-1
FUSE
CALL-8
CALL-6
CALL-4
Event Time 000000
Customers Affected 000
Event Time 112700
Customers Affected 001
Event Time 113100
Customers Affected 002
Event Time 113500
Customers Affected 003
Event Time 113500
Customers Affected 004
Event Time 113800
Customers Affected 005
Event Time 113800
Customers Affected 006
Event Time 114300
Customers Affected 018
Event Time 114900
Customers Affected 019
Event Time 114900
Customers Affected 086
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Outage Example w/AMR
TRF-1
TRF-1
LG-3
CALL-3
CALL-2
CALL-1
LG-2
LG-1
FUSE
CALL-4
TRF-2
TRF-2
Event Time 000000
Customers Affected 000
Event Time 112700
Customers Affected 001
Event Time 113000
Customers Affected 002
Event Time 113000
Customers Affected 003
Event Time 113000
Customers Affected 012
Event Time 113100
Customers Affected 013
Event Time 113400
Customers Affected 014
Event Time 113400
Customers Affected 086
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PECOs Outage Management Process
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Summer Slam - July 18, 2006

• A severe band of thunderstorms caused nearly
  400,000 power outages.
• Determined to be the worst summer storm ever
  experienced by PECO.
• 1,200 single customer outage calls were
  cancelled without crew dispatch due to meter
  pings that indicated power-on.
• 750 single customer outage calls were escalated
  into primary events via pings to neighboring
  customers meters. This ensured a properly
  skilled crew was dispatched the first time.
• The pinging and restoration verification tools
  were used to confirm active jobs were valid prior
  to crew dispatch. Feedback from the field crews
  indicated that they felt like they were working
  more effectively because they had very few
  assignments that were OK on arrival.
• Conservative estimates indicate that AMR has
  helped save in excess of 200,000 in avoided
  labor costs during this storm.

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AMR Outage Management Summary

• Improved outage management performance
• Quicker response due to last gasp
• More efficient use of field crews due to pinging
  (automated manual)
• Validate power restoration times using daily
  reports
• Reduced CAIDI by 5.5 minutes in 2005

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Theft Detection
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Revenue Assurance

• Theft detected during initial AMR installation
• Initial focus of using various meter tamper flags
  to detect potential theft of service proved
  ineffective
• Cellnet PECO developed more advanced tools
  looking at irregular usage patterns combined with
  tamper flags
• Repeated outages
• Unexplained usage
• Customer Load Profile / Irregular Load Shape
• Repetitive Flags
• Analysis is used to direct Revenue Protection
  crews to suspect areas

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Revenue Assurance Reports
No Weekend Usage

• Outage Reverse Rotation

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Revenue Assurance Reports
Irregular Usage
No Read-Window Usage
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Examples of Customer Bills
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After Corrections
Prior to Corrections
96.4
After Corrections
Prior to Corrections
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After Corrections
Prior to Corrections
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Engineering Studies
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Load Management

• The goal is to use AMR data to get a better
  understanding of how the distribution system is
  operating.
• Visibility into individual distribution
  transformer and cable loading is created
• The models are based on combination of actual
  customer usage, billing data, SCADA-based
  substation information and weather data.
• 4 circuits in a dense, urban environment were
  modeled with the Itron Distribution Asset
  Analysis Software

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Load Management Pilot

• PECO, Itron Microsoft collaborated to conduct a
  demonstration of the DAA application
• 4 circuits in a dense, urban environment were
  modeled
• 7,500 customers
• 269 transformers
• Data Sources
• SCADA 20 points input
• Daily and ½ hourly meter data
• Several enhancements were required to correctly
  model the circuits
• Virtual nodes to model Secondary Mains
• Interposing, Step-Down Transformers
• 2-Phase, Scott Connected Transformers

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Transformer Utilization
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Meter to Transformer Rollup
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Transformer Profile
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Preliminary DAA Results

• DAA predicted overloads on 2 of the 5
  transformers that failed in summer 06 on one of
  the demonstration circuits
• 1 transformer failed just after midnight,
  customers experienced a 4 hour interruption
• DAA provided secondary main loading data that was
  previously unavailable
• Heavily loaded mains are now under analysis

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Interval Data Pilot
Old City
Chinatown
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Outage Prediction
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Outage Prediction

• AMR Last-Gasp and Power-Up Messages
• 750,000 Last-Gasps Annually, 5 associated with
  actual outages
• 6,000,000 Power-Up Annually
• Why? What do these messages mean?
• Precursors
• Demonstrated to give advance notice
• Need to develop means to interpret these messages

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High Density of Power-Up Messages
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Outage Vs Power-Up Messages
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Orphan Meter Analysis

• Orphan meters are read by the AMR Network, but
  there is no corresponding customer location
  information
• Affected customers may receive estimated bills
• New meter sets may go unbilled lost revenue
• Analysis Process
• Map AMR network elements that are hearing
  orphan meters
• Overlay known meter locations vs. tax parcel
  vacancy data
• Identify occupied tax parcels that do not have
  meters that are within the range of the network
  device
• Results are used to direct field area
  investigations

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Orphan Meter Analysis
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Smart Grid
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Urban Utilinet Trial
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Sample Manhole Installation
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PECO Utilinet Pilot

• Demonstrate that the following devices can
  operate simultaneous via a single smart network
• Distribution Automation
• Reclosers (Monitoring Control)
• Unit Substations (Monitoring Control)
• Faulted Circuit Indicators
• Meter Reading
• Current Meter Reading Functions
• Remote Disconnect/Reconnect Meters
• Interval Data/Demand Response
• Voltage Sensing

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Jenkintown Area
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Closing Thought
There continues to be a wealth of opportunities
to extract real business value from AMI, well
beyond what is being delivered today.
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Contact Information
David Glenwright Manager, AMR Operations
Strategies Email david.glenwright_at_exeloncorp.com
Phone [phone]