The document discusses smart meters and utility metering applications. It describes high-end utility meters that combine energy metering, power quality monitoring, I/O capabilities, and communications. These advanced meters can be used for revenue and tariff metering, power quality analysis, substation automation, equipment monitoring and control, and improving system accuracy. The document also provides examples of how a utility is using power quality monitoring systems to identify issues early, avoid equipment failures, reduce outage times, and lower costs.
2. Reliability Efficiency Sustainability
Reduce Maintain Optimize Energy Distributed
Prevent Energy Resources
Duration Quality Capacity Management
Substation Complex
Sensor data
Automation Rates
Feeder Voltage Customer
Waveform Analysis Energy Storage
Automation Optimization Portal
Home/Building
Micro-Grids
Automation
Demand
PHEV
Response
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3. High End Utility Metering Offer
● 80% of Utility Metering is “Smart” meters -> Residential market
● High End metering is focused on a much smaller market including:
● Production – Generation metering
● Transmission – Grid metering for bulk power exchange
● Distribution – Large industrial customers and renewable grid connections
Meter Volumes Revenue
Generation Metering
Distribution M
etering
Residential
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4. High End Utility Metering
Class 0,2 metering offer that combines energy metering, power quality, I/O and
communications in a single device to solve a wide variety of utility applications
including one or combination of the following:
● Revenue/tariff metering for billing
● Power quality compliance & analysis
● Substation automation – provide operational data to SCADA system and control
capability
● Equipment monitoring and control (peak shaving, breaker control, generators)
● Improve system accuracy with existing equipment (Loss compensation)
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6. Key Utility Metering Applications for:
Renewable Energy
● Generation asset monitoring – turbine, gas-fired generator,
● Power Quality at intertie between renewable asset and grid
● Operational data for windfarm control systems assets
Feeder Automation
● RTU Functions - Monitoring breaker status and/or other substation values
● Feeder Monitoring – Operational data about feeders to SCADA system,
Gateway functions and totalization (Mastering)
● Power Quality – Provide waveform and compliance data for large substations
Revenue Metering
● High accuracy energy metering (legacy pulsing, 3rd party billing packages
(DLMS, MV-90))
● Loss compensation for transformers and transmission lines
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7. Reliability is the main priority for Distribution
Operators
● Safety and Reliability are often considered ONE goal and have the highest priority
historically
● “The flow of capital spend is generally directed at problems over opportunities”
-Booz, Allen, Hamilton; Edison Electric Institute Strategic Issues Forum
● “Keeping your lights on safely, efficiently and at a reasonable cost are my highest priorities as Dominion Virginia Power
chief executive officer”
-Paul Koonce, CEO Virginia Dominion Power
Power Interruption is Expensive
Average Cost for 1 Hour of Power Interruption per Customer
Industry Amount
Cellular communications $41,000
Telephone ticket sales $72,000
Airline reservation system $90,000
Semiconductor manufacturer $2,000,000
Credit card operation $2,580,000
Brokerage operation $6,480,000
Source: US Dept of Energy
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8. But the electrical industry is transforming
Reliability
► Environmental pressure
► Decentralized renewable energies
► Deregulation
Reliability ► Interconnections Efficiency
► Supply demand response
► Energy efficiency
► Electric cars
Sustainability
Our customers have defined the mechanism for this
transformation as ‘Smart Grid’
Schneider Electric - Division - Name – Date 8
9. Substation Metering Applications
Metering Applications
COMMUNICATION INFRASTRUCTURE
Control Center Level
Substation Level Incoming Metering
Bay Level Critical Load Monitoring
Process Level
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10. Fault Analysis Impact
Potential for SAIDI
reduction using location
techniques
Crew call- Patrol for fault
Travel to area Repair
in location
Potential for SAIFI
reduction using
predictive methods
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11. Fault Location
F. Zavoda, M. Tremblay; “Symbiosis Between ADA Applications and PQ Monitoring in Smart Grids”, EPRI PQ and Smart
Distribution Conference and Exhibition; Québec City, June 2010
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12. Fault Anticipation
● Waveform signatures and trends indicate incipient
failures
● Distributed sensors provide better view of operation
for condition based maintenance (cap controller,
recloser, etc)
● Distributed sensors provide better location
information when faults do occur
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13. JEA Facts and Figures
The company
● Largest publicly owned utility in Florida, #8 in US
● Over 2300 MW of generation capacity from coal, gas, and landfill
● 360,000 customers
The system
● 17 PQ monitors at generators
● 73 PQ monitors at Transmission and Distribution substations
● 92 PQ monitors at large industrial sites
● Connected via MODEM, Ethernet, and wireless
● Central servers running data collection and analysis software
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15. Northshore Substation T1 Issue
● System initially reported a 0 current value on C phase of very short duration
(less than half a cycle)
● This issue would happen a few times during each day
● Over a 4 week period the duration of the 0 current on C phase increased to
just over 1 cycle.
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16. Waveform of Northshore T1
Note how “blue” line is flat
= no current flow
= melting metal in tap changer
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17. Northshore Substation Issue
● Investigation of the distribution system pointed out one possible cause. A load
tap changer in a distribution transformer was the likely suspect.
● A maintenance outage was planned and the transformer was taken off line
and opened up.
● A broken pin was found on C phase of the tap changer transfer switch
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18. Tap Changer for Northshore T1
note broken pin
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19. Tap Changer for Northshore T1
note melted parts
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20. Northshore Substation Issue
● After the planned maintenance it was determined that the transformer had
about 2 weeks before a catastrophic failure occurred. The blade on the tap
changer switch would have eventually hit the side of the tank once the jaw
completely melted.
● The PQ system saved JEA over $1M in equipment replacement costs plus
customer satisfaction remained high since there was no prolonged outage.
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21. Bay Meadows Transformer T2
● Similar Issue to Northside Transforemer T1
● C phase waveform shown below
● JEA scheduled a shutdown to do maintenance
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22. Connector Ring - Picture 1
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23. Bay Meadows Transformer T2
● PQ system prevented this transformer from failing
● Transformer replacement cost would have been over $1M
● Customer Satisfaction did not “take a hit” as no outage was seen by the
customer.
● Since this event, the EEM system has been programmed to give an alarm for
this waveform signature. This will help identify an issue faster.
● The automated report identified a third LTC problem that required the
replacement of 49 contacts
“These kinds of issues are a ticking time tomb. In the past, an LTC
failure has usually meant that we lose the transformer. The meters
and software have already potentially saved three transformers at $1
million apiece. And the value to customer service is immeasurable in
avoiding unplanned outages to thousands of customers.” - Tom
Ventresca, Power Systems Engineer, JEA
Schneider Electric - Division - Name – Date 23
24. Conclusions
● Power Quality is an important part of Smart Grid
● Research shows power quality data can be used to locate faults and to
identify pending failures
● Technology exists today to gain the benefits
● PQ Systems have proven they can pay back
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25. Stay Connected to Schneider Electric
www.facebook.com/SchneiderElectric
www.twitter.com/SchneiderElec
www.Linkedin.com/groups?gid=56843
WWW.Schneider-Electric.com
www.youtube.com/CorporateSchneider
SETV.schneider-electric.com
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