PI : Information on hand for Operational Analytics Presented by: - - PowerPoint PPT Presentation

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PI : Information on hand for Operational Analytics Presented by: - - PowerPoint PPT Presentation

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PI : Information on hand for Operational Analytics Presented by: Ranjith Ramachandran Chandra Prakash Dewangan 1 AGENDA Information Enhancement ABT System. Auto Reports. Enhancement of data. Performance Monitoring,

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PI : Information on hand for Operational Analytics

Presented by:

Ranjith Ramachandran Chandra Prakash Dewangan

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AGENDA

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  • Information Enhancement
  • ABT System.
  • Auto Reports.
  • Enhancement of data.
  • Performance Monitoring, Analysis & Improvement
  • Plant Performance Monitoring.
  • Plant Performance Improvement.
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Trombay Haldia Jojobera Hydro

Central PI Enterprise Systems

Wind

PI System Integration

Mundra T&D Maithon

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  • Existing
  • Proposed

Legend

TROMBAY SERVER JOJOBERA SERVER

BHVP

U1 U2 U3 U4

PH#6

HALDIA SERVER U1 U3 U4 U5 U6 U7 U8 MIS / HYPERION LD

KHP

HYDRO SERVER MAITHON SERVER MUNDRA SERVER

BHIRA

CENTRAL PI SERVER BELGAUM LODHIVLI ABT T&D SERVER (DHARAVI) SCADA DAS AMR U2 WIND SERVER RDBMS INTERFACE

PI System - Network

MULSHI 3MW ENERCON SUZLON REGE N U1 U2

U5 EMS PI-PI INTERFACE

TATA POWER WAN

U1 U2 U3 U4

U5

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PI System Monitoring

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PI System Monitoring

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PI System Monitoring

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ABT SYSTEM

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∗ Acquisition of data from ABT System deployed for Mumbai Operations. ∗ Accurate, reliable and wide acceptance. ∗ My SQL database in the backend. ∗ Web client with limited features available for

  • monitoring. No tools for analysis purposes.

∗ Not possible to import data into excel. ∗ Report creation facility is not available. ABT System

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∗ RDBMS Interface connectivity with PI server ∗ Immediate and time triggered data collection. ∗ Easier to import into excel sheet for analysis. ∗ Displays and trend making with ProcessBook. ∗ Report creation became error free and less time consuming ∗ Reports from PI being utilized by Load Control Centre for planning and forecasting. Integration of ABT System with PI

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AUTOMATED REPORTS

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Daily operational and maintenance report on E-mail

Created Visual Basic application which utilizes PI DataLink to generate reports. Reports are in MS Excel format. The values are available as static. Hence, no need of PI DataLink on the recipients computer. Reports saved on a network drive. E-mail the report using PI notifications to a list of recipients by setting time based triggers.

Automated Reports

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Automated Reports

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ENHANCEMENT OF DATA QUALITY

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Solution to Energy Meter commn. error

 Energy meter communication problems during shutdown which results in error of the source data affecting calculations .

Before

TR U7 SATE 8.9014E+07 KWH 15/12/2010 5:21:55 AM 15/12/2010 12:00:00 AM 5.37 hours 8.882E+07 8.884E+07 8.886E+07 8.888E+07 8.89E+07 8.892E+07 8.894E+07 8.896E+07 8.898E+07 8.9E+07 8.902E+07

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 Created a performance equation for storing the last reading of the energy meter and the same tag used for energy calculations.

After

Solution to Energy Meter commn. error

TR U7 SATE 8.9014E+07 KWH 15/12/2010 5:21:55 AM 15/12/2010 12:00:00 AM 5.37 hours 8.88E+07 8.885E+07 8.89E+07 8.895E+07 8.9E+07 8.9029E+07

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Energy Meter reset

Energy meter resets to zero after reaching the maximum of cumulative reading which affects energy calculations.

Before

Result : Negative

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 Added a condition in performance equations to check for a meter reset for the entire day and provided two methods of calculation using an IF clause.

After

IF (TAGVAL('TR U7 SATEC STG KWH NO ERROR','T')-TAGVAL('TR U7 SATEC STG KWH NO ERROR','Y'))<0 THEN (TAGMAX('TR U7 SATEC STG KWH NO ERROR','Y','T')-TAGVAL('TR U7 SATEC STG KWH NO ERROR','Y')+TAGVAL('TR U7 SATEC STG KWH NO ERROR','T'))/1000000 ELSE (TAGVAL('TR U7 SATEC STG KWH NO ERROR','T')-TAGVAL('TR U7 SATEC STG KWH NO ERROR','Y'))/1000000

Modified PE

Result : Accurate

Energy Meter reset

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Single tag for OPC interface status based on a particular watchdog. No direct monitoring over the data received from various functional areas.

Before

OPC Server PI ICU PI Server PI Interface Watchdog tag OPC tag Interface status

Multiple interface status

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Multiple interface status

 Introduced the concept of multiple interface status tags using multiple watchdog from different functional areas.  Better monitoring over the plant.  Improved the availability of plant data.  Helps the plant engineers for immediate identification of the affected area.

After

OPC Server PI ICU PI Server PI Interface Watchdog tag OPC tag Interface status Watchdog tag OPC tag Watchdog tag OPC tag Watchdog tag OPC tag OR

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Trigger based PE

Performance equations was clock scheduled and it was consuming more computing power and memory. It was not possible to

  • utput results at a pre

defined time.  Created Triggers for the desired time.  Used triggers for event triggering of the calculated tags.  Calculations are performed

  • nly onetime in a day which

greatly reduced the system load and made the results accurate.

Before After

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THERMAL POWER PLANT PERFORMANCE MONITORING

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 PI Data used for Monitoring Plant Performance  “Before & After” Performance Analysis  Boiler & Turbine Efficiency Monitoring  Monitoring of Design vs. Actual Performance  Performance Analysis at different operating conditions  Dashboard / Report having Last Hour, Today, Last Day & Monthly data.

Performance Monitoring

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Performance Monitoring - “Before & After” Analysis

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Performance Monitoring - Boiler & Turbine Efficiency

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Performance Monitoring - Design vs. Actual

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Performance Monitoring – Diff. operating conditions

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Performance Monitoring - Dashboard

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PERFORMANCE IMPROVEMENT INITIATIVE - SANKALP

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SANKALP

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  • Structured, Time bound, Team based program

with top management support & bottom up approach to impact the company’s bottom line with minimal investment in shortest possible time.

  • Uses the creativity and energy of the people of

Tata Power and all its stakeholders

  • Utilizes Online Data from PI System to take

informed decisions.

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Online Data for 500 MW Coal Fired Unit

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History Data for analysis

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MS Temp

520.0 525.0 530.0 535.0 540.0 545.0 550.0 555.0 4:25 PM 6:25 PM 8:25 PM 10:25 PM 12:25 AM 2:25 AM 4:24 AM 6:24 AM 8:24 AM 10:24 AM 12:24 PM 2:23 PM 4:23 PM 6:23 PM 8:23 PM 10:23 PM 12:22 AM 2:22 AM 4:22 AM 6:22 AM 8:22 AM 10:21 AM 12:21 PM 2:21 PM

Date & time Temp

0.0 2.0 4.0 6.0 8.0 10.0 12.0

SH Temp SH Temp SH Spr

Trend format for analysis

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Unit 8

70.0 90.0 110.0 130.0 150.0 170.0 190.0 210.0 230.0 250.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 81 83 85 87 89 91 93 95

  • 400.0
  • 350.0
  • 300.0
  • 250.0
  • 200.0
  • 150.0
  • 100.0
  • 50.0

0.0 Load Cur Avg Suc Pr Avg

Last 100 Data only captured in Graph

Trend format for analysis

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Predictive Analysis

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Questions

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