performance monitoring and model validation of power plants … · 2014. 6. 23. · advantages of...
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Performance Monitoring and Model Validation of Power Plants
Leveraging Synchrophasors
NERC Planning CommitteeTampa, FL
December 7, 2010
Dmitry Kosterev, BPA, [email protected] Planning Implementation Task Team
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 2
NERC StandardsPower System Models are used in system studies to make decisions on the capital investment and to set system operating limits. Model verification is essential in ensuring that power system models are accurate and up to date
MOD-012 requires power plant owners to provide power plant data for dynamic simulations
MOD-026 will require power plant owners to verify that the provided dynamic models of excitation controls are accurate and up to date
MOD-027 will require power plant owners to verify that the provided dynamic models of governors and turbine controls are accurate and up to date
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 3
WECC ExperienceAugust 10, 1996
• Failure of models to predict or reproduce the 1996 disturbances
• Loss of confidence in model’s ability to set transfer capability limits
• Operational de-rating of California-Oregon Intertie and Pacific HVDC Interie
WECC BOT required that all generators larger than 10 MVA be tested for the purpose of model verification
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 4
WECC Experience 1996 - WECC BOT required generators be tested for
model validation
Baseline tests and model validation were performed for majority of generating units– Next issue – how to ensure that the models stay accurate
2006 – WECC Generating Unit Model Validation Criterion– Baseline testing
– Periodic model verification (5 year)
Using disturbance recordings was accepted as a method of model verification– Phasor Measurement Units are now installed at POI of many
large power plants in the West
– A cost-effective alternative to generator re-testing
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 5
~
Inject RecordedVoltage andFrequency
Compare Recordedand Simulated Power:MW and MVAR
GE PSLF Simulations
Disturbance “playback” is a standard feature in PSLFTools developed under a Technology Innovation project at BPA starting in 2000
Model Validation Overview
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 6
Phasor Measurements Advantages of synchro-phasor data over SCADA for model validation:
– High-resolution and accuracy
– High sampling rate (30-60 per second) that is needed to observe and understand generator dynamics
690
695
700
705
710
590 595 600 605 610 615 620 625 630
Time (sec)
Power
PMU SCADA
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Proven Benefits: Power Plant Model Validation
in lieu of re-testing
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 8
Power Plant Model Validation• Power plant model verification by using disturbance data is an
acceptable technical approach• More frequent verification, early detection of abnormalities, much
less expensive or risky than staged generator tests
Blue line = actual recordingRed line = model
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 9
Power Plant Model Validation• Successful model validation for a 750-MW coal-power plant
C.Huitt, D.Kosterev, J.Undrill, “Dynamic Monitoring is Cost Effective for TransAlta, BPA,” Electric Light and Power vol.82-07, p.52, November/December 2004.
- reactive power
- active power
Green = actual, red = model
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 10
Power Plant Model Validation• Successful model validation for 550 MW combined cycle plant
Blue line = actual recordingRed line = model
Voltage and frequency are inputsActive and reactive power are “measures of success”
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 11
Power Plant Model Validation• What a bad model looks like (800 MW steam-turbine unit)
Blue line = actual recordingRed line = model
Voltage and frequency are inputsActive and reactive power are “measures of success”
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 12
Power Plant Model Validation• What a bad model looks like (700 MW hydro-turbine unit)
- reactive power- active power
Blue line = actual recordingRed line = model
Active and reactive power are “measures of success”
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 13
Power Plant Model Validation• TO contacts GO when discrepancy between model
and actual response is observed persistently• Does the mismatch indicate a possible controller
failure in a plant ?• Fix the controller first
• Is the mismatch due to an incorrect model ? Most likely causes include:• Bad turbine-governor data
• Unit is baseloaded, model is on governor control• Bad Power System Stabilizer data• Wrong generator inertia• Inappropriate model (static exciter is modeled as rotating
dc exciter)
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 14
Wind Power Plants• Disturbance recordings may be the best technical approach for
wind power plant model validation
• 150-MW wind power plant with type 2 machines
• Several random “instability” events observed, power output was curtailed
85 %
105 %
-80 MVAR
20 MVAR180 MW
120 MW
400 sec
Blue = actual, Red = model
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Proven Benefits: Monitoring and Modeling
Governor Response
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 16
Modeling Governor Response• PMU data was very instrumental in identifying which power plants
are responsive, under load control or base-loaded• Several model improvements were made – gas-turbine models,
Kaplan hydro-turbine models
BEFORE AFTER
Blue = actual, Red = model
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Proven Benefits: Early Detection of Generator
Control Failures
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 18
Early Detection of Control Failures• Having phasor data available at a 700 MW hydro-power
plant allowed to identify Power System Stabilizer failure
PSS is modeled OFFPSS is modeled ON
Active Power OscillationBlue = actual recordingRed = models
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Operational Benefits: Detection of Generator
Instabilities
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 20
Large Hydro Power Plant Oscillation
0 50 100 150 200 250230
232
234
236
238
240
242
Time (sec)
Volta
ge [k
V]
Boundary Voltage
240 241 242 243 244 245 246 247 248 249 250230
232
234
236
238
240
242
Time (sec)
Vol
tage
[kV
]Boundary Voltage
Streaming synchro-phasor data will allow operators to detect and act on power oscillations in real time
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 21
Moving Forward Vision:
– Being able to evaluate dynamic performance of the entire generating fleet within an hour of a disturbance event
– Being able to evaluate performance of a single unit over a wide range of disturbances, produce validation reports for NERC / WECC compliance
– Continue using phasor data for improvement of power plant dynamic models
Use NASPI to spread technical knowledge
Power Plant Model Validation is one of the deliverables under Western Interconnection Synchrophasor Project (NASPI)
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 22
Conclusion – why BAs and TOs want PMUs at Power Plant POI
Monitor performance of its generating fleet during power system disturbances and staged tests
Validate models of power generators– Cost-effective compliance with emerging MOD standards
Detect acute control failures in real time– Prevent equipment damage
To realize these benefits, Phasor Measurement Units need to be deployed at POIs of major power plants, including wind generation– A good start is to put the requirement in your
interconnection standards
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B O N N E V I L L E P O W E R A D M I N I S T R A T I O N
Slide 23
If You are Interested in Synchrophasors NERC RAPIR
www.naspi.org/resources/pitt/pittresources.stm:
– Power Plant PMU Requirements
Contacts:
– Alison Silverstein, [email protected]
– Planning: Dmitry Kosterev, [email protected]
– Equipment: Antony Faris, [email protected]