Transcript Electric Power Group, LLC (EPG)

Electric Power Group Presents
Maximizing Use of Synchrophasor Technology for
Everyday Tasks
Welcome!
The meeting will begin at
2:00 p.m. EDT / 11:00 a.m. PDT
August 10, 2016
Registration URL: https://electricpowergroup2.webex.com/
Webinar Teleconference Number: 1-650-479-3208
Access code: 664 290 902
Please mute your phone during the presentation.
We will encourage discussion at planned QA session.
Thank you for your cooperation.
For any technical issues with this webinar, please contact [email protected] or call (626) 685–2015
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Webinar Series Kickoff
Maximizing Use of Synchrophasor Technology for Everyday Tasks
© Electric Power Group 2016. All rights reserved
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Objective
 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
© Electric Power Group 2016. All rights reserved
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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.
© Electric Power Group 2016. All rights reserved
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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
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Outline
 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
© Electric Power Group 2016. All rights reserved
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Data Extraction Need & Solution
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© Electric Power Group 2016. All rights reserved
Real-Time Operation
Let me just mark
the data and have
it for my
engineers to do
further analysis …
Operator
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Real-Time Data Extraction – Method
Backend Server
Operators See Something of
Interest in RTDMS:
Export Data from View/Display
> Export Profile Data to
COMTRADE
> User Marked Event
>
RTDMS
RTDMS
Server
Server
Database
Server
Database Server
ISG
GridSmarts
`
PCs
running
PCs running
RTDMS
Client
RTDMS Client
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© Electric Power Group 2016. All rights reserved
Data Extraction for Event Analysis
Generator Response
Ringdown Analysis
Oscillation Analysis
Disturbance Analysis
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© Electric Power Group 2016. All rights reserved
Data Extraction for Event Analysis – Method
Access Data for Event Analysis:
 RTDMS Replay
Backend Server
>
COMTRADE
>
Database
 GridSmarts
eDNA
RTDMS
RTDMS
Server
Server
Database
Database Server
Server
ISG
GridSmarts
PI
PCs
PCs running
running
PGDA
PGDA
RTDMS Database
>
Download COMTRADE Files
 DB Tool
Hard Drive –
RTDMS generated
COMTRADE Event Files
`
>
`
PCs
PCs running
running
RTDMS
RTDMS Client
Client
&
GridSmarts
& GridSmarts Web
Web
&
& DB
DB Tool
Tool
>
ePDC/RTDMS Database
>
COMTRADE, CSV
 PGDA
>
COMTRADE
>
RTDMS/ePDC Database
>
PI
>
eDNA
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© Electric Power Group 2016. All rights reserved
Large Amounts of Data Extraction – Weeks or
Months
Analysis and Patterns of Grid Behavior
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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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© Electric Power Group 2016. All rights reserved
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
30 Days
5 Hours 46 Mins
10 Hours 52 Mins
Can be done;
Time increase almost linearly
*Results are obtained using Windows Server 2008 R2, CPU X5687 @3.6GHz, 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.
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Large Amounts of Data Extraction – Method
Backend Server
1.
Connect ePDE to Database
>
RTDMS
RTDMS
Server
Server
Database
Database Server
Server
ISG
GridSmarts
RTDMS/ePDC/DataNXT
Database
2. Select Time and Signals
3. Select Output
>
CSV, ZIP, COMTRADE (next
release)
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© Electric Power Group 2016. All rights reserved
Data Extraction Demonstration
Using ePDE
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© Electric Power Group 2016. All rights reserved
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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© Electric Power Group 2016. All rights reserved
NYISO Use Cases
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© Electric Power Group 2016. All rights reserved
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
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Frequently Asked Questions
 How to extract data to meet PRC-002 requirement?
A. Select RTDMS trigger-based event file in COMTRADE
B. User Event Marker in RTDMS to mark as an event, then download as COMTRADE file
C. Use DB Tool to extract up to 15mins data to CSV, COMTRADE
D. Use ePDE to extract needed data to CSV, COMTRADE faster
 How to generate a comprehensive list of event files?
1) Configure ISG profile data extraction folder to be the same as RTDMS Server COMTRADE file folder
2) Point GridSmarts to above folder
3) Make sure no firewall between different servers
4) 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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© Electric Power Group 2016. All rights reserved
Q&A, Discussion
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© 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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© 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?
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© 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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© Electric Power Group 2016. All rights reserved
Thank you for participating!
If you have any questions regarding any part of the course,
please contact us at [email protected]
Thank you!
201 S. Lake Ave., Ste. 400
Pasadena, CA 91101
626-685-2015
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