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					AMR Advanced Applications
– Taking it a Step Beyond


   David Glenwright
   AMR Operations & Strategies


   NARUC
   July 15, 2007
Topics
 Background
 AMR at PECO
 Advanced Applications
   •   Outage Management
   •   Theft Detection
   •   Engineering Studies
   •   Other Opportunities




                             2
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




                                                     3
Customer Profile
Service Area
Philadelphia & Southeastern PA
2,400 sq. mile service area


Customers
Electric = 1.7 million
Gas = 500 thousand


Automated Meters
2.2 million meters on Cellnet Fixed Network
3,000 Large C&I customers on MV- 90 & Metretek



                                                 4
Scope of AMR at PECO
 PECO’s 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.
                                                                           5
Cellnet AMR Network Structure
  Exelon
Applications
                                  National
                                  Operations Center (NOC)

    System
   Controller                            Cell Master (CM)




                Wide Area                                   MicroCell
                Network                                     Controller (MCC)



                                                                        Endpoint devices
                                                                        w/CellNet Radio

                            Local Area
                             Network



                                                                                           6
AMR network components
                                     2.2 M Meters
                                     ~1.6 M Res. Electric
                                     ~455 K Res. Gas
                                     ~135 K Com. Electric
                                     ~42K Com. Gas




 91 Cell Masters   8,318 MicroCell
                       Controllers



                                                            7
Business Benefits of AMR
Customer Interface                            Operational / System Reliability
Minimize inconvenience to customers who      Improve read rate and accuracy
have difficult to read meters                 Reduce CAIDI by identifying, assessing
Reduce number of estimated bills             and responding to outages more efficiently
Improve ability to answer questions on 1st   Improve productivity of field forces
call                                          Reduce customer call volumes
Provide more energy usage info               Reduce safety incidences
Improve customer satisfaction                •Increase asset utilization
                                              •Improve ability to design electric
Financial Management                          distribution network
Improve the meter to cash cycle              •Identify precursors to reliability event
Continuous service - controls
Increase revenue
 Improve power factor measurement
Reduce lost revenue from theft


                                                                                           8
Outage Management




                    9
Outage Example
                      TRF-2                   TRF-1
   CALL-3         CALL-9          CALL-5       CALL-7
                    CALL-1                    CALL-2




CALL-8          CALL-4           CALL-6        FUSE

                11:49:00
                11:43:00
                11:38:00
                11:35:00
                11:31:00
                11:27:00
    Event Time: 00:00:00   Customers Affected: 000
                                               086
                                               019
                                               018
                                               006
                                               005
                                               004
                                               003
                                               002
                                               001      10
Outage Example w/AMR
                                                         TRF-1
  CALL-3              CALL-1                CALL-2       LG-3
                                                          LG-2




         LG-1
           CALL-4                                        FUSE
             TRF-2
               11:30:00
               11:27:00
               11:31:00
               11:34:00
   Event Time: 00:00:00        Customers Affected: 000
                                                   086
                                                   014
                                                   013
                                                   012
                                                   003
                                                   002
                                                   001           11
PECO’s Outage Management Process
 AMR Initiated Event

        AMR                           SCADA
      Last Gasp                                                         AMR Initiated Event

                                                                               AMR
                            Outage
      Call Center                      OMS               Dispatch             Power-
                            Record
                                                                                Up

          IVR

                                                 PECO
 Customer Initiated Calls
                                                Contacts
                                                Customer

                                                            Advanced
                                     AMR Ping              Assessment
                                                              Tools

                                                Automatic
                                                Processing




                                                                                              12
“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 customer’s 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.



                                                                                         13
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

                              2004         2005         2006
Single Outages Cancelled       5,450        6,184       11,584
Outages Escalated              1,100        2,418        4,532



                                                                     14
Theft Detection




                  15
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




                                                                   16
17
Revenue Assurance Reports




    No Weekend Usage




                       Outage & Reverse Rotation
                                                   18
Revenue Assurance Reports




      Irregular Usage




                        No Read-Window Usage

                                               19
Examples of Customer Bills
                     DATE    USAGE   DAY   DAU     REVENUE
     117%
                     07/25    8720   31    281.2    901.74
After Corrections    06/24    6667   31    215.0    777.96
                     05/24    4911   29    169.3    544.37
                     04/25    2646   32     82.6    349.86
                                                             Prior to Corrections
                     03/24    2716   30     90.5    366.87

                     DATE    USAGE   DAY   DAU     REVENUE
     96.4%           08/12    1652   29     56.9    241.34
 After Corrections   07/14    1412   30     47.0    205.68
                     06/14     981   32     30.6    141.62
                     05/13     575   30     19.1     79.89
                                                             Prior to Corrections
                     04/13     335   30     11.1     48.69


                     DATE    USAGE   DAY   DAU     REVENUE
     128%            08/17    1391   30     46.3    202.55
After Corrections    07/18    1314   32     41.0    191.11
                     06/16    1026   30     34.2    148.31
                     05/17     678   32     21.1     93.27
                                                             Prior to Corrections
                     04/15     373   29     12.8     53.63

                                                                                    20
Engineering Studies




                      21
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



                                                                  22
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
                                                          23
Transformer Utilization




                          24
Meter to Transformer Rollup




                              25
Transformer Profile




                      26
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




                                                                           27
Interval Data Pilot
                      
                      SpringGard




                                   Old City




 Chinatown




                                              28
Outage Prediction




                    29
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

                                                        30
High Density of Power-Up Messages




                                    31
Outage Vs Power-Up Messages




                              32
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


                                                                      33
Orphan Meter Analysis




                        34
Smart Grid




             35
Urban Utilinet Trial




                       36
Sample Manhole Installation




                              37
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
                                                     38
Jenkintown Area




                  39
Closing Thought



There continues to be a wealth of
opportunities to extract real business value
from AMI, well beyond what is being
delivered today.




                                               40
Contact Information



     David Glenwright
     Manager, AMR Operations & Strategies
     Email: david.glenwright@exeloncorp.com
     Phone: 215-841-6174




                                              41

				
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