Data Driven Analysis of Southern Regional Grid of India by Sarasij  Das . Based on Thesis “ Power System Data Compression ...
<ul><li>Aim </li></ul><ul><li>Understanding the parameter interrelations of  </li></ul><ul><li>Southern Regional Grid of I...
Introduction <ul><li>Power system instrumentation - transforming from analog to digital </li></ul><ul><li>Huge data being ...
<ul><li>Indian power system going through major changes </li></ul><ul><li>SRLDC - apex body responsible for integrated ope...
Collected Data Description <ul><li>In SRLDC, data stored in compact discs Excel files </li></ul><ul><li>Collected data dur...
Studies Performed <ul><li>System frequency Vs. average system voltage </li></ul><ul><li>System frequency Vs. total system ...
Average   system   voltage System  frequency On 06/06/2006
System frequency   Total  System Demand On 16/04/2006
Average system voltage Total  System Demand On 19/01/2006
Total MVAr generation Total  System Demand On 19/01/2006
Average system voltage (kV) Total  MVAr generation On 19/01/2006
Bus voltage (kV) MVAr  generation On 06/06/2006  - Scatter plot
Bus voltage (kV) MVAr  generation averaged at each voltage On 06/06/2006
Bus voltage (kV) MVAr  generation averaged at each voltage On 13/03/2006
Bus voltage (kV) MVAr  generation averaged at each voltage March 2006
System Demand averaged over each frequency System frequency   Month  - December 2005
System Demand averaged over each frequency System frequency   Month  - April 2006
Change in frequency Change in Total System Demand in consecutive instant Month  - December 2005
Change in frequency Change in Total System Demand in consecutive instant Month  - March 2006
Challenges <ul><li>Presence of outliers </li></ul><ul><li>Incomplete data </li></ul><ul><li>Inaccurate time stamping of da...
Conclusion <ul><li>Data analysis can reveal interesting system characteristics </li></ul><ul><li>Outliers, incomplete data...
Upcoming SlideShare
Loading in …5
×

Data driven analysis_of_southern_grid_of_india

417 views
365 views

Published on

Data driven analysis of Southern Regional Grid of india

Published in: Education, Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
417
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Data driven analysis_of_southern_grid_of_india

  1. 1. Data Driven Analysis of Southern Regional Grid of India by Sarasij Das . Based on Thesis “ Power System Data Compression For Archiving” http://etd.ncsi.iisc.ernet.in/handle/2005/572
  2. 2. <ul><li>Aim </li></ul><ul><li>Understanding the parameter interrelations of </li></ul><ul><li>Southern Regional Grid of India (using SCADA </li></ul><ul><li>data) </li></ul><ul><li>Highlight the challenges of data driven analysis of </li></ul><ul><li>a power grid </li></ul>
  3. 3. Introduction <ul><li>Power system instrumentation - transforming from analog to digital </li></ul><ul><li>Huge data being generated </li></ul><ul><li>Data : an asset </li></ul><ul><li>SCADA not designed to handle/analyze huge system data </li></ul><ul><li>Data analysis: new tool to understand power system better </li></ul>
  4. 4. <ul><li>Indian power system going through major changes </li></ul><ul><li>SRLDC - apex body responsible for integrated operation of power system in Southern Regional Grid of India </li></ul><ul><li>320 RTUs involved in system monitoring across Southern region. </li></ul><ul><li>Huge system information generated </li></ul><ul><li>Presently most of the recorded data remains un-used </li></ul><ul><li>Recorded system data can be analyzed for better system understanding, decision making and optimizing system performance. </li></ul>Context and Scope
  5. 5. Collected Data Description <ul><li>In SRLDC, data stored in compact discs Excel files </li></ul><ul><li>Collected data duration year 2005-06 </li></ul><ul><li>Data logging interval 1 minute – steady state data </li></ul><ul><li>Data of four system parameters are used for study </li></ul><ul><li>1. Voltage - 26 buses of 400 KV – 1 KV precision </li></ul><ul><li>2. MW generation – 60 units – 1 MW precision </li></ul><ul><li>3. MVAr generation - 88 units – 1 MVAr precision </li></ul><ul><li>4. Frequency - 0.01216 Hz precision </li></ul>
  6. 6. Studies Performed <ul><li>System frequency Vs. average system voltage </li></ul><ul><li>System frequency Vs. total system demand </li></ul><ul><li>Total system demand Vs. average system voltage </li></ul><ul><li>Total system demand Vs. Total MVAr generation </li></ul><ul><li>Total MVAr vs. average system voltage </li></ul><ul><li>MVAr injection averaged at generation bus voltage </li></ul><ul><li>System demand averaged at frequency </li></ul>
  7. 7. Average system voltage System frequency On 06/06/2006
  8. 8. System frequency Total System Demand On 16/04/2006
  9. 9. Average system voltage Total System Demand On 19/01/2006
  10. 10. Total MVAr generation Total System Demand On 19/01/2006
  11. 11. Average system voltage (kV) Total MVAr generation On 19/01/2006
  12. 12. Bus voltage (kV) MVAr generation On 06/06/2006 - Scatter plot
  13. 13. Bus voltage (kV) MVAr generation averaged at each voltage On 06/06/2006
  14. 14. Bus voltage (kV) MVAr generation averaged at each voltage On 13/03/2006
  15. 15. Bus voltage (kV) MVAr generation averaged at each voltage March 2006
  16. 16. System Demand averaged over each frequency System frequency Month - December 2005
  17. 17. System Demand averaged over each frequency System frequency Month - April 2006
  18. 18. Change in frequency Change in Total System Demand in consecutive instant Month - December 2005
  19. 19. Change in frequency Change in Total System Demand in consecutive instant Month - March 2006
  20. 20. Challenges <ul><li>Presence of outliers </li></ul><ul><li>Incomplete data </li></ul><ul><li>Inaccurate time stamping of data </li></ul>RCHR bus voltage on 02/01/2006 for the period 12:59 to 13:29
  21. 21. Conclusion <ul><li>Data analysis can reveal interesting system characteristics </li></ul><ul><li>Outliers, incomplete data pose challenges towards successful mining </li></ul><ul><li>Utility data archiving system should be designed keeping data analysis requirement as a criteria </li></ul>

×