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WECC JSIS Meeting
May 24, 2017
Kevin Chen
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▪ Realizing Value from Investments in Synchrophasors> Data Quality Assurance for Operations – DataNXT, eLSE
> Integrating Synchrophasor Intelligence with EMS – ICCP, DNP3, PI
> Expanded observability and Data Exchange – eLSE & ICCP
> Grid Resiliency – Emergency Operations with loss of EMS due to failure or attacks (cyber / physical) – PhasorNXT, RTDMS
> Improving State Estimation and validating models – eLSE, DataNXT, and PGDA
> Operating Guidelines (line reclosing, oscillations, phase angle limits) – PSOT & Portal, RTDMS
> Grid Performance Assessment and Utilization – PGDA
> Asset Health Monitoring – DOE Project
© Electric Power Group. 2017. All rights reserved. 1
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Real-Time Monitoring & Reports
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Phasor Data Management
Offline Analysis
Collection & Synchronization Validation & Conditioning Storage Adapters
RTDMS Visualization
PhasorNXTPlatform
Training
Synchrophasor Training Courses
Substation PDC
Control Center PDC
Phasor Simulator For Operator Training
PI
Remote Client Access –Available on Desktops, Tablets, Smartphones, etc.
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Model-Less/Algorithmic
Validation & Conditioning
eLSE-Based
Conditioning
Output
Input: Raw C37.118
eLSE conditioned
Raw or Conditioned Data with Optional Quality Flags
Data Quality Flags Model-lessconditioned
Data QualityReports
DataNXT Algorithms Detect, Flag, and Replace Bad Data(Error Sources 1 – 6)
Validated Model-Based Calculated Values (Error Source 7)
Database PIEMS
PI GatewayICCP GatewayC37.118C37.118.2
Real-time Applications
ComtradeCSV
eLSE Module
3rd Party Algorithms
© Electric Power Group. 2017. All rights reserved. 6
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▪ Data Availability - How much data is missing? When? Where?
▪ Data Quality - How much of the data is Good, Bad or Uncertain?
▪ Problem Breakdown - What are the problems causing of Bad and Uncertain data?
▪ Problem Sources - What are the problem root causes (both PMUs & Signals)? When and for how long?
▪ Reports – Dashboard summary of data quality, diagnostics to pin point problems, root cause analysis, and comparison of conditioned data and raw data
© Electric Power Group. 2017. All rights reserved. 7
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EMS/SCADASynchrophasor System
RTU’sPMUs
Applications
with SCADA
Applications
with Synchrophasors
Applications
with SCADA and
Synchrophasors
e.g. One-Line
Diagram with
phase angles
Applications with
Synchrophasors
and SCADA Data
e.g. PhasorNXT
ICCP
Gateway
© Electric Power Group. 2017. All rights reserved. 11
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▪ Enable EMS/SCADA with Synchrophasors> Dynamics: Oscillations, Phase Angles, Sensitivities, etc.
> Dynamic Alarms and Composite Alarms e.g. Low Damping, Islanding
> Frequency Disturbance Source Location
> Transmission MW Flow Constraints
> Improve State Estimation
> Improve Grid Resilience
▪ Data Exchange with ISO’s and Utilities> Raw PMU Measurements (voltages, currents, frequency, etc.)
> Calculated Values (angle difference, system frequency, real/reactive power, mode, sensitivity, oscillation, etc.)
> Alarms/Events (threshold violation, rate of change violation, composite alarms, global alarms etc.)
© Electric Power Group. 2017. All rights reserved. 12
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PMU Measurements(Telemetered)
Linear State Estimator(Estimated)
Applications(Calculated)
Alarms/Events(Calculated)
1. Voltage Magnitude
& Angle
2. Current Magnitude
& Angle
3. Frequency & DF/DT
4. IEEE 37.118 digitals
5. IEEE 37.118 analogs
1. Voltage
Magnitude &
Angle
2. Current
Magnitude &
Angle
1. Real & Reactive
Power
2. Corridor Real &
Reactive Power
3. Angle Difference
4. System Frequency
5. Voltage & Angle
Sensitivity
6. Mode Frequency,
Damping Ratio, and
Energy
7. Oscillation Energy for
all 4 frequency
bands
1. Threshold Violations
(Alarm)
2. Rate of Change Violations
(Event)
3. Global Alarms & Global
Events
4. Islanding, Generation
Trip, and Load Drop
Events
5. Composite Alarms
6. Oscillation & Low
Damping Alarms
7. High voltage/Angle
Sensitivity Alarms
© Electric Power Group. 2017. All rights reserved. 13
|© Electric Power Group. 2017. All rights reserved. 14
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▪ Provides Reliability and Redundancy Independent of EMS / SCADA
▪ Key Features> Synchrophasor Applications – (Oscillations, Sensitivities, etc.)
> Linear State Estimation – (High Data Quality, Expanded Visibility)
> Topology Information – (Real-time Breaker Status)
> One-Line Diagrams
> Real-Time Monitoring Visualization
▪ PhasorNXT Early Participants:> ERCOT, Duke, Dominion
▪ PhasorNXT Running at Duke Energy since May 2016
▪ ERCOT Deployed in Test Environment
© Electric Power Group 2017. All rights reserved 15
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▪ Deployed at Charlotte Control Center and Planned for Florida
▪ Integrated with Duke EMS> One-Line Diagrams > Real-Time Breaker Status> Auto builds network model from EMS using CIM
▪ Key Features> Scrubs data to improve data quality – DataNXT> Always solves without a full system model – eLSE> Increases visibility through virtual PMU’s – eLSE> Auto builds one-lines from existing EMS displays> Runs at 30 times / second> Utilizes RTDMS Platform for Analytics and Visualization
▪ PhasorNXT Running at Duke Energy without fail since May 2016
© Electric Power Group. 2017. All rights reserved. 16
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System level one-line with eLSE valueAble to drill down to substation level one-line
© Electric Power Group. 2017. All rights reserved.
PUBLIC
Substation Neighborhood One-line with PMU Raw Data/LSE Values
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Source: Patrick Gravois, Use Cases of Linear State Estimator Technology for Grid Resiliency, EPG Users Group Webinar, Feb. 15, 2017.
PUBLIC
ERCOT Specific Use Cases
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▪ Individual GTC Visibility> Visibility when EMS is down
> Solve independently for each GTC
> Monitor voltage mag & ang, power flows of interface
> Monitor voltage stability, oscillations
▪ Example: Panhandle Export Monitoring> Monitor 8 tie lines interface
> Retain operating at last export limits– Voltage stability issues
– Wind curtailment
– Generation re-dispatch
– NERC 30min rule
PUBLIC
Panhandle Export GTC Display
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RTDMS 2017 Release (March 2017)
*Planned
© Electric Power Group. 2017. All rights reserved. 21
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▪ Oscillation Detection & Monitoring Software Version 2.0 > Entire code being re-written
> Developed by Montana Tech (Trudnowski et al); Licensed & Maintained by T&D Consulting Engineers (TDCE) LLC.
▪ Mode Metering Module (MMM)> Frequency up to Nyquist Frequency
> Result is Frequency, Damping, Energy & Mode Shape
> Allows multiple input signals
> Detailed quality flag
▪ Oscillation Detection Module (ODM)> Runs all the time
• Detection based on 4 oscillatory frequency bands
> Result gives signals RMS energy for each band
> Spectral Analysis on the highest RMS Energy band to identify exact oscillatory frequency
> Built-in Alarming
© Electric Power Group. 2017. All rights reserved. 22
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• Mode shape shown in geo-location, Location of icon• Individual signal location• Aggregated signal: average
of angle difference, or power PMU location
• Size of circle represents shape amplitude
• Arrow in circle represents shape phase, arrow length is twice the radius of circle
• Color of circle is green, use alarm color scheme of damping
© Electric Power Group. 2017. All rights reserved. 23
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• A layer – user select signals they want to show
• Use one icon to show alarm band for each PMU (under one icon, may have multiple signals)
• Whenever which alarmed, the icon changes color
• If signal is aggregated, use the average long&lat
© Electric Power Group. 2017. All rights reserved. 24
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• This display popup after clicking
• OD 4 band chart of the alarmed signal
• Line chart of the alarmed signal
• Spectral shape of the alarmed signal + the highest top 5 RMS energy signal identified for the alarm
• Scroll bar for event analyzer function is also included
• *If more than 1 signal type is alarmed, a same set of view should form display for each signal, the display would group together by tabs (as different tabs in a profile)
© Electric Power Group. 2017. All rights reserved. 25
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APIs
OMS Engine
RTDMS Database
RTDMS ServerRTDMS Server
C37.118
RTDMS Advanced Calculation Engine
RTDMS Advanced Calculation Engine
Third party Services and Applications
RTDMS ClientRTDMS Client
PGDAPGDA
RTDMS Data Access Service
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·
·
EMS
Other utility existing apps
DNP-3 Interface
PI Interface
ICCP Interface
Integration
SDS Interface
PI
OMS Results Visualization
OMS Results
OMS Configuration
Pre-processing
OMS Results Storage
© Electric Power Group. 2017. All rights reserved. 26
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Planned in Q3 2017
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▪ Fault Analysis for NERC PRC Standard Requirements
> Estimating phasors (magnitude and angle) from voltage and current waveforms
> Calculating symmetrical components
> Estimating frequency in Hz from voltage angle using IEEE C37.118.1 standard
▪ Fault location for IEEE C37.114 Standard Requirements based on DFR records
▪ Harmonic Evaluation for IEEE 519 Standard Requirements
▪ Voltage Ride Through (VRT) Assessment for NERC PRC-024-2 and IEEE 1547 Standard Requirements
▪ Pseudo Signal Calculator
▪ Import data from Open Historian
▪ PGDA Report Improvement for NERC MOD-033 standard Requirements
▪ New Module – Automated Event Miner (AEM)
> Mined events reported by location, severity, timing/duration, count and clusters
> Data sources: synchrophasors (recorded data) and simulated phasors (simulated data) archived in flat files (CSV, COMTRADE, DST), Historians (PI, eDNA, open Historian) and Relational Databases
© Electric Power Group. 2017. All rights reserved. 30
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Automated Event Miner
Oscillation Events by
Location, Severity, Mode & Duration
Generation Trip
Frequency Events by
Location, Severity, Timing & Count
Wide Area Angle Events by
Location, Seasonal Alert/Alarm Limits, Timing,
Count, Severity
Poor and Negatively Damped
Contingencies
Voltage Events & Clusters by
Zones, Severity, Duration, Count
Line Trip
© Electric Power Group. 2017. All rights reserved. 31
|© Electric Power Group. 2017. All rights reserved. 32
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▪ Extracting large amounts of synchrophasor data efficiently for offline analysis. (August 2016)
▪ Quickly creating an event report that could be distributed to operators, engineers and managers.
(Sept. 2016)
▪ System Model Validation for MOD-33 Requirement (Oct. 12)
▪ Configuring alarms and validate parameters to provide meaningful results for operators. (Dec 14)
▪ Synchrophasor Intelligence in EMS for Use in Operations (Jan 2017)
▪ Use Cases of Linear State Estimator Technology for Grid Resiliency (Feb 2017)
▪ Delivering Reliable and Validated PMU Data for Use by Operators (April 2017)
▪ Generator Parameter Validation (June 2017)
▪ Remote/Mobile access with local host for real-time monitoring and event diagnostics during
emergencies
▪ Data Mining for grid events of different types, e.g. oscillations, generator trips etc.
▪ Using composite alarms as early warning for operator action
▪ ePDC/DataNXT/RTDMS pub/sub Synchrophasor Distribution Service
▪ Other topics…
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© Electric Power Group. 2017. All rights reserved. 33
Presentation and Recording available at:http://electricpowergroup.com/webinars.html
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Electric Power Group (EPG)
201 S. Lake Ave. Suite 400
Pasadena, CA 91101
(626) 685 2015
Heng (Kevin) Chen
chen@electricpowergroup.com
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