Your Blueprint for Grid Modernization Starts Here
Learn more:
• Key lessons from NRGi's deployment and their plans to use grid health data from meters to troubleshoot problems in the low voltage network
• How to get beyond billing and offer new applications that can maximize your investment
• How other leading utilities plan to expand beyond billing using Echelon's multi-application platform
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.
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
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
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, …)
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
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