1. NASPI PMU Data Application Classification
Frank Tuffner, Harold Kirkham
Electricity Infrastructure Group
WECC JSIS Meeting – Salt Lake City, Utah
September 11, 2014
PNNL-SA

2. PMU Data Applications
Phasor measurement units providing greater observability into the power grid
Time-synchronized
High data rates (30 reports/sec or 60 reports/sec typical)
Different applications have different requirements. Relevant parameters of accuracy are:
Amplitude
Angle
Frequency
Rate of change of frequency (ROCOF)

3. Data Application Classification
Understand the variety of applications and vastly different data requirements
Provide requirement definitions and requirement selection guidance for different PMU data applications
Determine the metrics for data classification
Determine quantified values for the various metrics
Determine priority for various metrics in each application
Understand how PMU parameters apply to the applications
Bandwidth of the input signal
Bandwidth for noise requirements
Time synchronization
Harmonic distortion
Out of band interference
Impulse response
Latency

4. Initial Thoughts and Work
Leverage existing definition sets and work
IEEE Standard 2030TM-2011
NERC RAPIR Report
NASPInet 2008 document
Other NASPI working documents
Initial draft sent out to NASPI Data & Network Management Task Team (DNMTT)
Coordinate with “Synchrophasor Application and Metrics Guide” being developed in parallel
April 12, 2019

5. Application Requirements
Reliability Requirements
Latency Requirements
Data Rate Requirements
Data Volume
Data Security
April 12, 2019

6. PMU Classification Class A – High Reliability Measurements
Bandwidth (2)
Dynamic Range
Application
Comments
Narrow
Small
Voltage Stability Monitoring/Assessment
May have multiple timescales of relevance
Frequency Stability/Islanding
Large
Situational Awareness Dashboard
Notification
Wide
Short-term stability control (e.g., transient stability)
Small-Signal Stability Monitoring
Monitor for oscillations
Long-term stability control (eg wide area frequency, transient stability)
Automatic Arming of Remedial Action Schemes
Out-of-step protection
FACTS feedback control, Smart switch-able networks
April 12, 2019

7. PMU Classification Class B – Low Latency Measurements Bandwidth (2)
Dynamic Range
Application
Comments
Narrow
Small
State Estimation
Disturbance Analysis Compliance
This is offline, not control
Real Time Compliance Monitoring with Reliability Standards
Thermal Monitoring (Overload)
Baseline Normal Phase Angle Trends
Large
Event Reconstruction
Wide
Frequency Response Analysis
(Angle, Voltage & Angle Profiles, flows, Load-Resource Imbalance)
Pattern Recognition/Correlation Analysis
Model Validation
New Applications Evaluation and Limits Definition
Anomaly Characterization and Alarming
(Real time alarming on hard limits & "out of normal" conditions,)
April 12, 2019

8. JSIS Feedback
Feedback needed from industry and subject area experts
Adjust application categories or approach?
Adjust definitions, or include new ones, to properly capture all aspects of PMU data applications?
Adjust metric table values to properly define application requirements?
Direct document feedback on the initial draft
If you have any feedback on items missing from the original 2008 document or need to be addressed better, please let us know.

9. Further Information/Questions
For further information or feedback, please contact: Frank Tuffner Harold Kirkham