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BLUEPRINT FOR GRID
MODERNIZATION
Welcome!

 NRGi Key Lessons Learned           Poul Berthelsen, NRGi

 Blueprint for Grid Modernization   Varun Nagaraj, Echelon

 Q&A
Speakers

Poul Berthelsen has been working in the Utility industry for 7 years --
initially and has always been active in the distribution side of the
business, having technical responsibility for the remote reading system.
Since 2007 he became responsible for the technical content of the
tender procedure and evaluation of bids within NRGi
                                                  NRGi.



Varun Nagaraj brings more than 20 years of high tech product
                                           high-tech
planning and strategy success and experience to Echelon. Varun was
the CEO of NetContinuum (acquired by Barracuda Networks), served
as EVP of Marketing and Customer Operations for Ellacoya (acquired
by Arbor Networks), and was VP of Product Management and
Marketing at Extreme Networks.
Poul Berthelsen, NRGi
KEY LESSONS LEARNED
Who is NRGi
Danish Customer Owned Grid Company

 210,000 customers
 185 000 meters changed
  185,000
 3,700 Transformers
  10kV / 0.4kV
         0 4kV
 2,000 solar installations
 Smart metering
  implementation and
  installation finished 2012
Low Voltage Network

                     10/0.4kV



                    Y




   Average – 60 Customers/Transformer  (from 1 ‐ >500)
NRGi Solution


•      Supplier  Project management
       Supplier – Project management
•        meters 
•         software
            f
More than Billing
More than Billing




                    Billing
More than Billing




                    Billing


                    Heat
                    Water
More than Billing




                         Billing


                         Heat
              Analysis
                         Water
More than Billing




               Alarms    Billing


                         Heat
              Analysis
                         Water
Demand More from Metering!

 Max/Min voltage
 Contract max                            15 min resolution
  current                                 Billing 3 month
 Monitor power                           FWD + REW
  factor            Alarms     Billing


                               Heat
                    Analysis              Flow
 Current 5 min                Water
  resolution                              Diff. Temperature
 Voltage                                 MWh
 THD                                     M3
Integration Overview
Integration Overview




   Goals & Objectives:
   • Never visit the meter – investigate more remotely
     Never visit the meter – investigate more remotely
   • Reduce costs of maintaining the grid
   • Troubleshoot grid health by analyzing meter data
   • Do not impact billing 
                    b ll
Never Visit the Meter – Solve More Remotely!


Collecting 15 min values and alarms from meters
         g




        Problems are investigated without disturbing load profile data
Example: Under-Voltage Problems Detected




                               Voltage measured
                                    206.35V
Example: Under-Voltage Problems Detected




                               Voltage measured
                                    206.35V




          Select the feeder
How We Configured Meters to Troubleshoot
How We Configured Meters to Troubleshoot
Results Combined with Communication Data




         L1
         L2
         L3
         N


    Voltage 
         g
               L1   L1   L2   L2   L3   L3
    "L1"
    Voltage 
               L2   L3   L1   L3   L1   L2
    "L2"
    Voltage 
               L3   L2   L3   L1   L2   L1
    "L3"
Current Measurement

  120



  100



   80



   60



   40



   20                                                   L1
                                                        L2
    0
                                                        L3

        One transformer feeder 35 meter installations
Conclusion
                 Private garage
             Old welding equipment
             generates peak current


                                      Voltage measured
                                           206.35V
Key Lessons Learned
 Use proven technology
    Best meter on the market
    Proven software

 Communication system is important
    Success rate >99.9% daily collection (data collected 4 times a day)

 Firmware updates should be possible
    Allows you to add more functionality
    Focus on integration

 Sh ld not need t visit meters after installation
  Should t     d to i it   t     ft i t ll ti
 Implementation and integration is complicated
Varun Nagaraj, Echelon
BLUEPRINT FOR GRID
MODERNIZATION
Low Voltage Grid Stress Points
Low Voltage Grid Stress Points




   Three main categories of stress: 
   1.   Distribution transformer failures
   2.
   2    Outages & power quality issues impact service to customers
        Outages & power quality issues impact service to customers
   3.   Losses (technical and non‐technical)
Blueprint for Grid Modernization




    3.   Demand Management


    2.   Service Assurance


    1.   Smart Metering
Smart
                  Metering


Demand                        Transformer
Management
                    Start     Protection

                  Anywhere
                    y
Smart                         Service Quality 
Street Lighting
Street Lighting               Assurance


                  Revenue
                  Assurance
Smart
                  Metering


Demand                        Transformer
Response
                    Start     Protection

                  Anywhere
                    y
Smart                         Service Quality 
Street Lighting
Street Lighting               Assurance


                  Revenue
                  R
                  Assurance
DISTRIBUTION TRANSFORMER
FAILURES
Fewer than 1% of World’s
Transformers Are Monitored Today
The Ageing Transformer Problem

         “The average age of transformers is rising worldwide.
        There is likely to be a significant increase in the number
                            of failures by 2020”




The Hartford Steam Boiler Inspection and Insurance Co., 2011
What Could Be Detected?

           Substation




                                         Transformer
                        Imbalance;          Outage
                                                g
                         Overload




                        Door Open?
                                     Overheating
What Could Be Detected?

              Substation




      Benefits of monitoring:            Transformer
                                            Outage
                                                 g
        Improves reliability
      • I            li bilit
                   Imbalance;
                    Overload
      • Avoids transformer failures and blackouts
      • Extends useful life of transformers
      • Reduces maintenance costs
                   Door Open?
                                     Overheating
      • Protects public safety
Echelon Solution                               COS
                                               App



           Substation               Utility
                                  Datacenter




                        Control
                        Nodes
Monitoring at the Transformer
                                           Control
                                           Nodes

                 Substation




  Monitors key failure & safety parameters at distribution 
              y               yp
  transformers:
  • Load by Phase                • Oil Level                  Smart
                                                              Meters
  • Oil Temperature
     Oil Temperature             • Moisture 
  • Winding Temperature          • Door Status
  • Ambient Temperature          • Fan Control

  Locally trend, analyze, and communicate to data center

  Drop loads: Control relay, de‐activate load points
How it Works

               Control     Modbus
                Node       RS-232
                           RS 232
                                          Sensor
                                        I/O Module




CT   CT
          CT                                  T Air
                                         PT100 Temp
                                         sensors

                         T Top Oil
                                              Humidity
                         Oil Level



                         T Bottom Oil     Gas Sensors
                                          (H2, CO2, …)
Transformer Protection App                COS
                                          App



           Substation          Utility
                             Datacenter




                                                Smart
                                                Meters
OUTAGES & POWER QUALITY ISSUES
Outages
P
 Power i t
       interruptions cost the EU €150B a year
               ti       t th
 U.S. outages cost as much as $180B a year
Power Quality
L
 Losses caused b poor power quality cost the EU
               d by            li         h
 €10 billion annually
 16% of generation in EU is from renewables
What’s Happening?                     Over Voltage


                                        Increasing 
                         Substation
                                        Frequency

                                              Under Voltage
                                              Under Voltage

             Frequency
                Drift




                                                              Power Factor
                                                              Degradation


   Outages
What’s Happening?                       Over Voltage


                                          Increasing 
                         Substation
                                          Frequency

                                                Under Voltage
                                                Under Voltage

             Frequency
  Benefits of monitoring:
                Drift

  • Know about outages before customers call
    Know about outages before customers call
  • Meet power quality service obligation to customers 
  • Closely monitor voltage as PVs & renewables are added
  • Quickly narrow down location of problems to expedite 
         kl         d     l         f   bl           d
    resolution


                                                                Power Factor
                                                                Degradation


   Outages
Echelon Solution                           COS
                                           App



           Substation           Utility
                              Datacenter




                        Control
                        Nodes                    Smart
                                                 Meters
Smart Meters

                  Substation




 • M it
   Monitor outages and PQ events at the meter
             t       d PQ     t t th
                              Control     t
    •   Voltage sags and swells        Nodes     Smart
    •   Phase loss and outage duration           Meters
    •   Out of spec frequency
        Out of spec frequency
    •   Out of spec THD
 • Monitor meter health at strategic locations
Control Nodes
                                           Control
                                           Nodes
                Substation




  • Backup battery allows ECNs to communicate during outage
  • Local intelligence processes PQ events                   Smart
                                                             Meters
     • Aggregate & filter reports from all attached meters
         gg g                p
     • Summarize disparate events into intelligent reports
     • Transmit only the data utilities need to the head end
     • Avoid “event storms” at head‐end
       Avoid  event storms at head end
  • Map outages & PQ events to LV grid for faster troubleshooting
Outage Detection - How it Works
                “Last Gasp” Alarm enabled by Backup Battery
                   Pinpoint location of fault on three levels
  Transformer Station                    Switches            Switches



  MV/LV Transformer




                Control
                 Node

        1

                                         3                              2
Strategic Meters
representing each segment
                            Logical Feeder   “End of Line” Meters
                            Segments         for each feeder
Precise Outage Management and Restortion Reporting




  Accurately report outage times to regulators:

   Notifies utility when each meter is without power & when power is restored
   Meters keep exact time of interruption & recovery – no over reportage of outage 
    minutes to regulators
   P i
    Precise outage information is provided to crews in real‐time 
               t     i f    ti i       id d t       i     l ti
   Information on cold load pick‐ups provided to bring up restored feeder lines
Power Quality Monitoring - How it Works
   Control
    Node
Power Quality Monitoring - How it Works
      Control
       Node




  00:01 Voltage sag: Meter #1
  00:01 Voltage sag: Meter #2             15 Voltage sag from 5 meters in 2 minutes
  00:01 Voltage sag: Meter #3
  00:01 Voltage sag: Meter #4
  00:01 Voltage sag: Meter #5
  00:02 Voltage sag: Meter #1   Control
  00:02 Voltage sag: Meter #2    Node
  00:02 Voltage sag: Meter #3
  00:02 Voltage sag: Meter #4
  00:02 Voltage sag: Meter #5
  00:03 Voltage sag: Meter #1
  00:03 Voltage sag: Meter #2
  00:03 Voltage sag: Meter #3
  00:03 Voltage sag: Meter #4
  00:03 Voltage sag: Meter #5
  00 03 V l          M     #5
Service Quality Assurance App
                                            COS
                                            App
               Substation        Utility
                               Datacenter




                                                         Smart
                                                         Meters



   • Combines detailed power quality and outage summaries into 
     one web interface
     one web interface
   • Cuts down investigation time into issues that impact 
     consumer’s quality of service 
LOSSES
Technical:
 6-8% of energy is lost in T&D in advanced countries
 10% gain i efficiency could h
          i in ffi i       ld have saved th U S
                                       d the U.S.
  $5.7B in 2006
Non-Technical:
 30% theft is common in emerging economies
 1-2% loss is common in US = $5M - $20M annually
Types of Losses

                       Substation




                                    Non‐technical
                                        loss
                                         oss
      Technical loss
Types of Losses

                Substation




  Benefits of monitoring:
  • Proactively measure losses on low voltage grid            Non‐technical
  • Detect unauthorized use fraud and protect revenue
    Detect unauthorized use, fraud, and protect revenue           loss
                                                                   oss
       Technical loss
  • Identify sources of above‐average losses to focus grid 
    improvements for better ROI
Echelon Solution                           COS
                                           App



           Substation           Utility
                              Datacenter




                        Control
                        Nodes                    Smart
                                                 Meters
Smart Meters

                Substation




 • Tamper detection alarms notifies utilities of
   Tamper detection alarms notifies utilities of 
                                Control
   unauthorized access to meter Nodes                Smart
 • Rogowski coil sensors for accuracy even in the    Meters

   presence of strong magnetic fields
Control Nodes
                                                 Control
                                                 Nodes
                 Substation




  • Local sensors monitor consumption at the transformer
    Local sensors monitor consumption at the transformer
     •   Near real‐time comparison of energy 
                                                                       Smart
     •   Transformer vs. total metered energy from all attached meters yield 
                                                                       Meters
         p
         possible sources of non‐technical losses 
     •   Account for non‐metered sources such as street lights
  • Analysis at the edge saves WAN costs
  • Customizable algorithms compare usage patterns against
    Customizable algorithms compare usage patterns against 
    neighbors, similar homes
Revenue Assurance App                               COS
                                                    App



                Substation

                                        Utility
                                      Datacenter
                                      D t       t




                                                            Smart
                                                            Meters

  UI tracking Losses across vast LV distribution networks:
  • Aggregate & display summary results from “edge intelligence”
  • Hi hli ht i ifi t di
     Highlights significant discrepancies or larger then expected 
                                      i      l      th        t d
     losses down to specific transformers
  • Archive historical data for pattern recognition
Today’s Announcement

 Echelon Launched COS App Beta
    Transformer Protection
    Service Quality Assurance
    Revenue Assurance

 Apps Run on Echelon Energy Control Networking Platform
    Includes head-end components (UI and App)
                                      (             )
    Local processing distributes real-time intelligence to the edge
    Improves grid reliability
    Reduces data deluge at operations center

 For more information email COSapps@echelon.com
Q&A

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Blueprint for Grid Modernization

  • 2. Welcome!  NRGi Key Lessons Learned Poul Berthelsen, NRGi  Blueprint for Grid Modernization Varun Nagaraj, Echelon  Q&A
  • 3. Speakers Poul Berthelsen has been working in the Utility industry for 7 years -- initially and has always been active in the distribution side of the business, having technical responsibility for the remote reading system. Since 2007 he became responsible for the technical content of the tender procedure and evaluation of bids within NRGi NRGi. Varun Nagaraj brings more than 20 years of high tech product high-tech planning and strategy success and experience to Echelon. Varun was the CEO of NetContinuum (acquired by Barracuda Networks), served as EVP of Marketing and Customer Operations for Ellacoya (acquired by Arbor Networks), and was VP of Product Management and Marketing at Extreme Networks.
  • 4. Poul Berthelsen, NRGi KEY LESSONS LEARNED
  • 6. Danish Customer Owned Grid Company  210,000 customers  185 000 meters changed 185,000  3,700 Transformers 10kV / 0.4kV 0 4kV  2,000 solar installations  Smart metering implementation and installation finished 2012
  • 7. Low Voltage Network 10/0.4kV Y Average – 60 Customers/Transformer  (from 1 ‐ >500)
  • 8. NRGi Solution • Supplier  Project management Supplier – Project management • meters  • software f
  • 10. More than Billing Billing
  • 11. More than Billing Billing Heat Water
  • 12. More than Billing Billing Heat Analysis Water
  • 13. More than Billing Alarms Billing Heat Analysis Water
  • 14. Demand More from Metering!  Max/Min voltage  Contract max  15 min resolution current  Billing 3 month  Monitor power  FWD + REW factor Alarms Billing Heat Analysis  Flow  Current 5 min Water resolution  Diff. Temperature  Voltage  MWh  THD  M3
  • 16. Integration Overview Goals & Objectives: • Never visit the meter – investigate more remotely Never visit the meter – investigate more remotely • Reduce costs of maintaining the grid • Troubleshoot grid health by analyzing meter data • Do not impact billing  b ll
  • 17. Never Visit the Meter – Solve More Remotely! Collecting 15 min values and alarms from meters g Problems are investigated without disturbing load profile data
  • 18. Example: Under-Voltage Problems Detected Voltage measured 206.35V
  • 19. Example: Under-Voltage Problems Detected Voltage measured 206.35V Select the feeder
  • 20. How We Configured Meters to Troubleshoot
  • 21. How We Configured Meters to Troubleshoot
  • 22. Results Combined with Communication Data L1 L2 L3 N Voltage  g L1 L1 L2 L2 L3 L3 "L1" Voltage  L2 L3 L1 L3 L1 L2 "L2" Voltage  L3 L2 L3 L1 L2 L1 "L3"
  • 23. Current Measurement 120 100 80 60 40 20 L1 L2 0 L3 One transformer feeder 35 meter installations
  • 24. Conclusion Private garage Old welding equipment generates peak current Voltage measured 206.35V
  • 25. Key Lessons Learned  Use proven technology  Best meter on the market  Proven software  Communication system is important  Success rate >99.9% daily collection (data collected 4 times a day)  Firmware updates should be possible  Allows you to add more functionality  Focus on integration  Sh ld not need t visit meters after installation Should t d to i it t ft i t ll ti  Implementation and integration is complicated
  • 26. Varun Nagaraj, Echelon BLUEPRINT FOR GRID MODERNIZATION
  • 27. Low Voltage Grid Stress Points
  • 28. Low Voltage Grid Stress Points Three main categories of stress:  1. Distribution transformer failures 2. 2 Outages & power quality issues impact service to customers Outages & power quality issues impact service to customers 3. Losses (technical and non‐technical)
  • 29. Blueprint for Grid Modernization 3. Demand Management 2. Service Assurance 1. Smart Metering
  • 30. Smart Metering Demand Transformer Management Start Protection Anywhere y Smart Service Quality  Street Lighting Street Lighting Assurance Revenue Assurance
  • 31. Smart Metering Demand Transformer Response Start Protection Anywhere y Smart Service Quality  Street Lighting Street Lighting Assurance Revenue R Assurance
  • 33. Fewer than 1% of World’s Transformers Are Monitored Today
  • 34. The Ageing Transformer Problem “The average age of transformers is rising worldwide. There is likely to be a significant increase in the number of failures by 2020” The Hartford Steam Boiler Inspection and Insurance Co., 2011
  • 35. What Could Be Detected? Substation Transformer Imbalance; Outage g Overload Door Open? Overheating
  • 36. What Could Be Detected? Substation Benefits of monitoring: Transformer Outage g Improves reliability • I li bilit Imbalance; Overload • Avoids transformer failures and blackouts • Extends useful life of transformers • Reduces maintenance costs Door Open? Overheating • Protects public safety
  • 37. Echelon Solution COS App Substation Utility Datacenter Control Nodes
  • 38. Monitoring at the Transformer Control Nodes Substation Monitors key failure & safety parameters at distribution  y yp transformers: • Load by Phase • Oil Level Smart Meters • Oil Temperature Oil Temperature • Moisture  • Winding Temperature  • Door Status • Ambient Temperature • Fan Control Locally trend, analyze, and communicate to data center Drop loads: Control relay, de‐activate load points
  • 39. How it Works Control Modbus Node RS-232 RS 232 Sensor I/O Module CT CT CT T Air PT100 Temp sensors T Top Oil Humidity Oil Level T Bottom Oil Gas Sensors (H2, CO2, …)
  • 40. Transformer Protection App COS App Substation Utility Datacenter Smart Meters
  • 41. OUTAGES & POWER QUALITY ISSUES
  • 42. Outages P Power i t interruptions cost the EU €150B a year ti t th  U.S. outages cost as much as $180B a year Power Quality L Losses caused b poor power quality cost the EU d by li h €10 billion annually  16% of generation in EU is from renewables
  • 43. What’s Happening? Over Voltage Increasing  Substation Frequency Under Voltage Under Voltage Frequency Drift Power Factor Degradation Outages
  • 44. What’s Happening? Over Voltage Increasing  Substation Frequency Under Voltage Under Voltage Frequency Benefits of monitoring: Drift • Know about outages before customers call Know about outages before customers call • Meet power quality service obligation to customers  • Closely monitor voltage as PVs & renewables are added • Quickly narrow down location of problems to expedite  kl d l f bl d resolution Power Factor Degradation Outages
  • 45. Echelon Solution COS App Substation Utility Datacenter Control Nodes Smart Meters
  • 46. Smart Meters Substation • M it Monitor outages and PQ events at the meter t d PQ t t th Control t • Voltage sags and swells Nodes Smart • Phase loss and outage duration Meters • Out of spec frequency Out of spec frequency • Out of spec THD • Monitor meter health at strategic locations
  • 47. Control Nodes Control Nodes Substation • Backup battery allows ECNs to communicate during outage • Local intelligence processes PQ events  Smart Meters • Aggregate & filter reports from all attached meters gg g p • Summarize disparate events into intelligent reports • Transmit only the data utilities need to the head end • Avoid “event storms” at head‐end Avoid  event storms at head end • Map outages & PQ events to LV grid for faster troubleshooting
  • 48. Outage Detection - How it Works “Last Gasp” Alarm enabled by Backup Battery Pinpoint location of fault on three levels Transformer Station Switches Switches MV/LV Transformer Control Node 1 3 2 Strategic Meters representing each segment Logical Feeder “End of Line” Meters Segments for each feeder
  • 49. Precise Outage Management and Restortion Reporting Accurately report outage times to regulators:  Notifies utility when each meter is without power & when power is restored  Meters keep exact time of interruption & recovery – no over reportage of outage  minutes to regulators  P i Precise outage information is provided to crews in real‐time  t i f ti i id d t i l ti  Information on cold load pick‐ups provided to bring up restored feeder lines
  • 50. Power Quality Monitoring - How it Works Control Node
  • 51. Power Quality Monitoring - How it Works Control Node 00:01 Voltage sag: Meter #1 00:01 Voltage sag: Meter #2 15 Voltage sag from 5 meters in 2 minutes 00:01 Voltage sag: Meter #3 00:01 Voltage sag: Meter #4 00:01 Voltage sag: Meter #5 00:02 Voltage sag: Meter #1 Control 00:02 Voltage sag: Meter #2 Node 00:02 Voltage sag: Meter #3 00:02 Voltage sag: Meter #4 00:02 Voltage sag: Meter #5 00:03 Voltage sag: Meter #1 00:03 Voltage sag: Meter #2 00:03 Voltage sag: Meter #3 00:03 Voltage sag: Meter #4 00:03 Voltage sag: Meter #5 00 03 V l M #5
  • 52. Service Quality Assurance App COS App Substation Utility Datacenter Smart Meters • Combines detailed power quality and outage summaries into  one web interface one web interface • Cuts down investigation time into issues that impact  consumer’s quality of service 
  • 54. Technical:  6-8% of energy is lost in T&D in advanced countries  10% gain i efficiency could h i in ffi i ld have saved th U S d the U.S. $5.7B in 2006 Non-Technical:  30% theft is common in emerging economies  1-2% loss is common in US = $5M - $20M annually
  • 55. Types of Losses Substation Non‐technical loss oss Technical loss
  • 56. Types of Losses Substation Benefits of monitoring: • Proactively measure losses on low voltage grid Non‐technical • Detect unauthorized use fraud and protect revenue Detect unauthorized use, fraud, and protect revenue  loss oss Technical loss • Identify sources of above‐average losses to focus grid  improvements for better ROI
  • 57. Echelon Solution COS App Substation Utility Datacenter Control Nodes Smart Meters
  • 58. Smart Meters Substation • Tamper detection alarms notifies utilities of Tamper detection alarms notifies utilities of  Control unauthorized access to meter Nodes Smart • Rogowski coil sensors for accuracy even in the  Meters presence of strong magnetic fields
  • 59. Control Nodes Control Nodes Substation • Local sensors monitor consumption at the transformer Local sensors monitor consumption at the transformer • Near real‐time comparison of energy  Smart • Transformer vs. total metered energy from all attached meters yield  Meters p possible sources of non‐technical losses  • Account for non‐metered sources such as street lights • Analysis at the edge saves WAN costs • Customizable algorithms compare usage patterns against Customizable algorithms compare usage patterns against  neighbors, similar homes
  • 60. Revenue Assurance App COS App Substation Utility Datacenter D t t Smart Meters UI tracking Losses across vast LV distribution networks: • Aggregate & display summary results from “edge intelligence” • Hi hli ht i ifi t di Highlights significant discrepancies or larger then expected  i l th t d losses down to specific transformers • Archive historical data for pattern recognition
  • 61. Today’s Announcement  Echelon Launched COS App Beta  Transformer Protection  Service Quality Assurance  Revenue Assurance  Apps Run on Echelon Energy Control Networking Platform  Includes head-end components (UI and App) ( )  Local processing distributes real-time intelligence to the edge  Improves grid reliability  Reduces data deluge at operations center  For more information email COSapps@echelon.com
  • 62. Q&A