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Electric Power Group Presents Maximizing Use of Synchrophasor Technology for Everyday Tasks
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2:00 p.m. EDT / 11:00 a.m. PDT
August 10, 2016
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1. Webinar Series Kickoff
Maximizing Use of Synchrophasor Technology for Everyday Tasks
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2. © Electric Power Group 2016. All rights reserved
Objective
DRAFT
Topics based on feedback from EPG Applications’ Users Group and Industry Stakeholders
Designed to address needs that are common to operators and engineers
Outline the issues faced frequently by users, and cover step-by-step approach to address the issues
Knowledge sharing (use cases, best practice, …)
Advance daily use of synchrophasor applications
Obtain direct feedback on issues and suggestions to prioritize our activities at EPG
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3. EPG Webinar Series http://electricpowergroup.com/webinars.html
Initial List of topics:
Extracting large amounts of synchrophasor data efficiently for offline analysis.
Quickly creating an event report that could be distributed to operators, engineers and managers.
Configuring alarms and validate parameters to provide meaningful results for operators.
Mining large data archives for events of different types, e.g. oscillations, generator trips, etc.
Using alarms & events for proactive actions.
Providing secure remote access to users in real-time for monitoring and diagnostics during normal times and emergencies.
Sending data & alarms to EMS.
Leveraging existing one-line diagrams to map synchrophasor data.
Extending grid synchrophasor observability with Linear State Estimation technology.
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4. Maximizing Use of Synchrophasor Technology for Everyday Tasks
Extracting Large Amount of Synchrophasor Data Efficiently for Offline Analysis
Webinar
August 10, 2016
Presented by
Kevin Chen, Neeraj Nayak, EPG
Dan Ilse, Frank Kopecki, Pramila Nirbhavane, NYISO

5. © Electric Power Group 2016. All rights reserved
Outline
DRAFT
Data Extraction Needs & Solutions
Real-Time: Operators See Something of Interest – Seconds to Minutes
Events: What Happened – Root Cause? – 3 to 15 Minutes
Large Amounts: Analysis and Patterns of Grid Behavior – Weeks or Months
Data Extraction Demonstration using enhanced Phasor Data Extractor
NYISO Use Cases
Discussion
Your Practice, Use Cases, Suggestions
Summary
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6. Data Extraction Need & Solution
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7. Oh, there’s something interesting here!
Real-Time Operation
Let me just mark the data and have it for my engineers to do further analysis …
Oh, there’s something interesting here!
Operator

8. Real-Time Data Extraction – Method
Operators See Something of Interest in RTDMS:
Export Data from View/Display
Export Profile Data to COMTRADE
User Marked Event
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9. Data Extraction for Event Analysis
Generator Response
Ringdown Analysis
Oscillation Analysis
Disturbance Analysis
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10. © Electric Power Group 2016. All rights reserved
Data Extraction for Event Analysis – Method
Access Data for Event Analysis:
RTDMS Replay
COMTRADE
Database
GridSmarts
RTDMS Database
Download COMTRADE Files
DB Tool
ePDC/RTDMS Database
COMTRADE, CSV
PGDA
RTDMS/ePDC Database PI
eDNA
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11. Large Amounts of Data Extraction – Weeks or Months
Analysis and Patterns of Grid Behavior

12. Conversation between Kyle and Frank …
We hear similar request from other customers
We’ve developed a new tool for this purpose – ePDE
You want to try it out?
Need to extract large amount of data (about 1 week)
Tried DB tool
Takes too long
Suggestions?
Another satisfied customer.
Ok Great. I’ll try it.
Works for me!
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13. Data Extraction Performance
30 samples/sec using DB tool
Data Duration
100 Signals
500 Signals
1000 Signals
2000 Signals
10 Minutes
36 secs
4 Mins 20 secs
12 Mins 23 secs
16 Min 39 secs
1 Hour
5 Mins
25 Mins
1 Hour 14 Mins X
30 samples/sec using ePDE
Data Duration
100 Signals
500 Signals
1000 Signals
2000 Signals
10 Minutes
6 secs
11 secs
20 secs
34 secs
1 Hour
31 secs
1 Min 12 secs
1 Min 53 secs
3 Min 16 secs
1 Day
10 Mins 30 secs
22 Mins
42 Mins
1 Hour 18 Mins
7 Days
1 Hour 17 Mins
2 Hours 28 Mins
Can be done;
Time increase almost linearly
30 Days
5 Hours 46 Mins
10 Hours 52 Mins
*Results are obtained using Windows Server 2008 R2, CPU RAM 24GB, 64-bit OS.
Note: data extraction times vary with several other factors like current load (I/O) on the Database, Database file groups’ structure, Database Server and ePDE system resources: RAM and CPU, amount of data in the archive, data resolution, network bandwidth and load.

14. Large Amounts of Data Extraction – Method
Connect ePDE to Database
RTDMS/ePDC/DataNXT Database
Select Time and Signals
Select Output
CSV, ZIP, COMTRADE (next release)
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15. Data Extraction Demonstration
Using ePDE
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16. Extracting Large Amount of Data – Key Takeaways
Access archived data for:
Data quality analysis
Data mining analysis
Event analysis
Asset measurement anomalies
Data communication problems
Research
Multi-threaded & batched processing technique
Breakdown data size to small chunk
Do not overload system resource
Minimize impact on real-time data archiving / visualization
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17. © Electric Power Group 2016. All rights reserved
NYISO Use Cases
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18. NYISO Use Cases for Data Extraction
Event Analysis - Large amounts of data needed to analyze an event.   
Determining Limits/Threshold - Analyzing a year’s worth of data
Data for EPG - Sending large amounts of data to EPG for analysis and data mining
Data for Academic Institutions – Researchers request large amounts of data. RPI, SUNY Binghamton, CURENT.
Data for Other ISO’s and Transmission Owners – For those who do not have visibility or access to PMU data. 
Data for NERC - Government Agencies such as PNNL/DOE, NERC, FERC–SMS
Data for NYSERDA Project - SUNY Binghamton, Bigwood Systems, and  NYISO are working on a Generator Parameter Calibration Project

19. Frequently Asked Questions
How to extract data to meet PRC-002 requirement?
Select RTDMS trigger-based event file in COMTRADE
User Event Marker in RTDMS to mark as an event, then download as COMTRADE file
Use DB Tool to extract up to 15mins data to CSV, COMTRADE
Use ePDE to extract needed data to CSV, COMTRADE faster
How to generate a comprehensive list of event files?
Configure ISG profile data extraction folder to be the same as RTDMS Server COMTRADE file folder
Point GridSmarts to above folder
Make sure no firewall between different servers
Use GridSmarts event list report
As an operating engineer, what’s the best way to extract 3 mins of data to look at a frequency transient?
GridSmarts report
How do I extract 1 month of data for oscillation analysis?
How do I extract months to 1 year of data for data mining?
As a protection engineer, what’s the best way to extract 1 week of data to confirm a PMU measurement anomaly?
ePDE
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20. © Electric Power Group 2016. All rights reserved
Q&A, Discussion
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21. © Electric Power Group 2016. All rights reserved
Q&A, Discussion
Q&A
Data Extraction
Your Practices
Use Cases
Pain Points
Suggestions
Next Webinar Focus
Priority
Other topics
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22. © Electric Power Group 2016. All rights reserved
EPG Webinar Series
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 21)
Configuring alarms and validate parameters to provide meaningful results for operators.
Mining large data archives for events of different types, e.g. oscillations, generator trips, etc.
Using alarms & events for proactive actions.
Providing secure remote access to users in real-time for monitoring and diagnostics during normal times and emergencies.
Sending data & alarms to EMS.
Leveraging existing one-line diagrams to map synchrophasor data.
Extending grid synchrophasor observability with Linear State Estimation technology.
Other topics?
© Electric Power Group All rights reserved

23. © Electric Power Group 2016. All rights reserved
Summary
Data Extraction Needs & Solutions
Real-Time, Events, Large Amounts
Data Extraction Process Demo using ePDE
NYISO Use Cases
Discussion
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24. Thank you for participating!
If you have any questions regarding any part of the course, please contact us at
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Pasadena, CA 91101