More Related Content Similar to WECC Linear State Estimator Project Enhancements Similar to WECC Linear State Estimator Project Enhancements (20) WECC Linear State Estimator Project Enhancements1. |
WECC Linear State Estimator Project
September 22, 2015 – Salt Lake City, Utah
Presentation to JSIS
Ken Martin and Lin Zhang
Electric Power Group
2. |
Project Introduction - Synchrophasor Data Validation and Conditioning Application
(SDVCA)
Data Validation
> Model less Using Algorithms
> Model Based Using Linear State Estimator (LSE)
enhanced Linear State Estimator (eLSE)
> Overview
> Enhancements
> Testing and Results
> eLSE Product
Discussion and Next Steps
BriefingOutline
19/22/2015© Electric Power Group. 2015. All rights reserved.
3. |
Objective is to develop a validation and conditioning application for WECC utilities
Specified to include validation & conditioning using:
> Model less algorithms
> Model Based Linear State Estimator (LSE)
Modeless approach uses the algorithms developed under a DOE sponsored project
> EPG was the contractor for this project
Model based approach uses the LSE developed by Virginia Tech at Dominion
> VT/Dominion placed the code in the public domain
Test and demonstration at BPA
> Test site arranged by WECC
> Historical data testing using 3 years of archived data
> Real-time data testing using a live data feed
Projectoverview
29/22/2015© Electric Power Group. 2015. All rights reserved.
4. |Page 3
Model-Less & LSE-Based
Data Validation and Conditioning
Model-Less Validation &
Conditioning
LSE-Based Validation &
Conditioning
Output Selection
Input:
Raw C37.118
Model-less
conditioned
C37.118
Model-less
conditioned
C37.118
LSE-conditioned
C37.118
Output:
Conditioned
C37.118
5. |
DataValidationUsingModelessApproach
Page 4
Module 1 & 2
Communication &
Message Format
Module 3
Time & Timing
Data
Stream
Comm error
Msg size
Chk word
PMU ID
Missing Samples
Msg order &
sequence
Time good
Latency ok
Stuttering
Module 4 & 5
PMU Status & Data
characteristics
PMU Status
H/L limits
Hi Noise
Stale data
Frequency
derivation
User defined
calculations &
logics for
topology-based
validation
Module 6 Measurement
Topology
Output Conditioning
w/wo LSE
Data validation flag
Combine flag &
data
Conditioned data
set to NaN for
error
Conditioned
data w/or w/o
error flags
GPS (Optional)
7. |
LSEissuestoresolve
Many models used in WECC
> Which should be used?
> Which are proprietary only?
> Where do we get it?
Converting model to that used by LSE
Using the LSE outside of .net environment
Keeping topology consistent – Synchronizing data with topology
> SCADA reports are not synchronized with phasors
> How do we get breaker updates for historical data and synchronize with phasor data?
> Same for real-time data?
Choosing the best data (modeless or model based)
Page 6
8. |
ProjectSchedule
Notes
> Original start was delayed for documents
> Task 2 started when approved by WECC
> Task 3 & 4 run concurrently - Resolving issues with state estimation
> Have to work with BPA & SCADA ICCP server availability
> Project end date extended to December 1
Page 7
Task # Task description Work time
projected
Schedule
Start
Scheduled
finish
Actual
start
Actual finish
1 Algorithm & software design 4 mo. 6-Mar-14 21-Aug-14 21-Apr-14 15-Aug-14
2 Develop & deliver code to WECC 7 mo. 24-Sep-14 23-Apr-15 24-Sep-14 21-May-15
3 Install & test at BPA 1 mo. 23-Apr-15 23-May-15 15-May-15
4 Back test with 3 years of data 1 mo. 23-Apr-15 23-May-15 15-May-15
5 Deliver complete working system 1 mo. 23-May-15 23-Jun-15
9. |
Three phase LSE code developed at Virginia Tech by Prof Thorp and Kevin Jones
VT code implemented at Dominion Virginia Power in 2013
EPG enhanced VT/DVP code to extend the LSE to complex power systems such
as the WECC/BPA system
EPG’s enhanced LSE (eLSE) has been tested and validated on the BPA system
Presentation outline
> Overview
> Enhancements
> Model Builder
> Breaker Status Update – PMU Digital or ICCP
> Testing and Results
> Lessons Learned
> eLSE Product
LSEOverview
9/22/2015© Electric Power Group 2015. All rights reserved 8
10. |
eLSEInputsandUses
© Electric Power Group 2015. All rights
reserved
9
eLSE Application
Utility
Network
Model (CIM)
C37.118
PMU data
• WECC SDVCA
• DataNXT: Validation and
Conditioning
• PhasorNXT: Visualization
and Situational
Awareness
• Network Applications
• Contingency Analysis
• Energy Market
• Stability
Topology
Information
Inputs:
PMU Data (PDC)
Network Model (CIM integration)
Topology Info (PMU digital or ICCP)
9/22/2015
11. |
Series Capacitor
Shunt capacitor/reactor
Split bus
Naming convention
Bypass breaker modeled in line
Breaker status interface to accept Inter-Control Center
Communications Protocol (ICCP)
eLSEApplication–SixMajorEnhancementsImplemented
9/22/2015© Electric Power Group 2015. All rights reserved 10
12. |
SeriesCapacitorEnhancement
9/22/2015© Electric Power Group 2015. All rights reserved 11
R X
B/2 B/2
V2
I21I12
V1
One Line Segments ONLY
– No Series Caps Example 2: Multiple line segments with series capacitors
Original LSE code enhanced Linear State Estimator code
Example 1: Series capacitors – one line segment
V1 V2R X
B/2 B/2
I12 I21
R X
B/2 B/2
SC
V1 V2
I12 I21
R X
B/2 B/2
SC
15. |
Automatic CIM parsing engine
> Parse the CIM model and convert it to LSE model
Mapping File Creation
> Mapping PMU signals to LSE model
Signal mapping engine
> Read the mapping file and automatically map PMU signal to the LSE model
GUI of network model builder
> Edit network model, eg add or remove lines, breakers
> Update models
eLSEModelBuilder–FourMajorComponents
9/22/2015© Electric Power Group 2015. All rights reserved 14
16. |
LSE Provides two ways of retrieving breaker status update
1. Using PMU digital
2. Using EMS data – integrated using Inter-Control Center
Communications Protocol (ICCP)
BreakerStatusUpdateforreal-time- TwoMethods
9/22/2015© Electric Power Group 2015. All rights reserved 15
17. |
Validated for BPA’s entire 500kV and
portion of 230kV system
System reduced to PMU visible area
> 37 Substations with PMU installed
> 220 phasor measurements
> 65 observable substations
Able to run properly at 60 frames per
second
Testing with historical and live field
PMU data
eLSEValidation–65ObservableSubstationswithPMUsat37Substations
9/22/2015© Electric Power Group 2015. All rights reserved 16
Elements Number
Substations 65
Lines 96
Line Segments 126
Transformers 129
Nodes 3091
Breakers 849
Switches 2357
Series Capacitors 18
Shunt Capacitors 112
Observable buses 78
18. |
Minor offsets are expected when using linear state estimation
Initial BPA results showed 40kV offset at Chief Joseph
Approach used to identify root cause:
> Use bad data detection module which flags bad data to identify if
problem is due to bad measurements
> Compare PMU data and SCADA data – should match
> Calculate line impedance using PMU measurements – compare
results with model to identify model problems
Remove questionable lines in model to run eLSE for good results
TestingandApproachUsedtoAddressIssues
9/22/2015© Electric Power Group 2015. All rights reserved 17
19. |
Chief Joseph Brake event
Testing–InitialResultwithChiefJosephBrakeEvent–40kVOffset
9/22/2015© Electric Power Group 2015. All rights reserved 18
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Chief Joseph 500 kV East Bus Voltage Magnitude
LSE Estimated Raw PMU measurement
40kV
20. |
PDCI event
Testing-InitialResultwithPDCIEvent–40kVOffset
9/22/2015© Electric Power Group 2015. All rights reserved 19
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Chief Joseph 500 kV East Bus Voltage Magnitude
LSE Estimated Raw PMU measurement
40kV
21. |
Chief Joseph Brake event
Removequestionablelines–Offsetreducedto2kV
9/22/2015© Electric Power Group 2015. All rights reserved 20
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Chief Joseph 500 kV East Bus Voltage Magnitude
LSE Estimated Raw PMU measurement
2kV
22. |
PDCI event
Removequestionablelines–Offsetreducedto10kV(lessthan2%)
9/22/2015© Electric Power Group 2015. All rights reserved 21
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Chief Joseph 500 kV East Bus Voltage Magnitude
LSE Estimated Raw PMU measurement
10kV
23. |
Standard CIM Model
> “Common” information model, NOT common, customization required
Network parameters
> Critical for LSE estimated results
Good redundancy of measurements
> Help detect bad data and give better estimated results
PMU digitals for breaker status, instead of using ICCP
> No time skew issue if using PMU digitals
LessonsLearnt
9/22/2015© Electric Power Group 2015. All rights reserved 22
24. |
eLSE available as a stand alone product
eLSE functionality integrated into applications – WECC SDVCA, EPG’s PhasorNXT and DataNXT
Production Grade – Tested and Validated
> BPA System
> ERCOT System
> LADWP Virtual PMU Use Case – (Victorville McCullough Adelanto system)
Designed to handle complex systems
Incorporates bad data detection and identification module
Implementation Steps for a Utility/ISO
> Model Integration
> PMU Data Mapping
> ICCP Integration
eLSEProduct
9/22/2015© Electric Power Group 2015. All rights reserved 23