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© Siemens AG 2014 All Right Reserved. usa.siemens.com/smartgrid
Siemens TMDS® Transformer Monitoring and Diagnostic System
© Siemens AG 2014 All Rights Reserved.
Page 2 Smart Grid Division
Siemens Transformer Lifecycle Management
Planning Studies • Condition Assessment
• Contingency Planning
• ARMA
• Uprate Studies
Engineered Solutions • SIT DRY®
• Replacements Parts: A/C, FP, ELIN, Siemens
Field Services • Turnkey Replacement
Projects
• Emergency Response
• Testing
Specialty HV Test
Standard (PF etc.)
Diagnostics • Sensors (GAS-Guards)
• Centralized (TMDS® )
• Distributed ( TMDS® SM)
© Siemens AG 2014 All Rights Reserved.
Page 3 Smart Grid Division
Siemens TMDS® Transformer Monitoring & Diagnostic System
TMDS® suite of solutions are expert monitoring systems which integrate and analyze multiple transformer parameters to provide complete asset health assessment and management
• Advanced detection of abnormal conditions by capturing statistically significant data based on transformer operation
• ANSI/IEEE co-relational engineering models convert monitored data in to actionable information
• Dynamic modeling to facilitate real time transformer loading without increased ageing
• Self-Diagnostics - Automatically detects bad sensor data to avoid false diagnosis
• Supportive of different preferences in sensing technologies and integration
© Siemens AG 2014 All Rights Reserved.
Page 4 Smart Grid Division
• Codes generate/diagnostic messages displayed in TMDSL Screen • Recommended Action, Trend and Prognosis driven by Rules based on logic tree
and correlation of other model variables • Screen Graphic driven by codes generated and values measured
IEEE/IEC Thermal Model
-Ambient Temperature-Oil Temperature-Winding Temperature-Hot Spot Temperature
Bushing Model
-Relative Capacitance Deviation
DGA Model
-H , CH , C H , C H , C H ,O CO , CO
2 4 2 4
2 6 2 2 2
2
Moisture Model
Prognosis & Correlation Model (Rule/Table based)
- Thermal Calc with Oommen Curve Analysis
Oil Level Model
- Oil Level Calculation with Thermal Expansion
- Model incorporates statistical significance analysis, identifies data falling within predefined limits of confidence intervals (95%, 80% etc..), quickly identifies statistical breakout prior to alarms and trips
Model Alarm & Statistical Variance Codes
Rule based correlation datarequest
A
Siemens TMDS® - Knowledge Application
© Siemens AG 2014 All Rights Reserved.
Page 5 Smart Grid Division
System provides continuous diagnosis of condition & recommended action if appropriate
Operational recommendations to reduce probability of catastrophic failure
Siemens TMDS® - Knowledge Application
© Siemens AG 2014 All Rights Reserved.
Page 6 Smart Grid Division
Siemens TMDS® - Knowledge Application
© Siemens AG 2014 All Rights Reserved.
Page 7 Smart Grid Division
IEEE/IEC Thermal Model
-Ambient Temperature-Oil Temperature-Winding Temperature-Hot Spot Temperature
Bushing Model
-Relative Capacitance Deviation
DGA Model
-H , CH , C H , C H , C H ,O CO , CO
2 4 2 4
2 6 2 2 2
2
Moisture Model
- Thermal Calc with Oommen Curve Analysis
Oil Level Model
- Oil Level Calculation with Thermal Expansion
Trending Model
- Trending Analysis
Cumulative Aging Model
- Hot Spot Temp vs Accelerated Aging
- Model incorporates statistical significance analysis, identif ies data falling within predefined limits of confidence intervals (95%, 80% etc..), quickly identifies statistical breakout prior to alarms and trips
Operational Thermal Load Limit Models
- Hot Spot Temp Limit Prediction @ current load
- Hot Spot Temp for new load point
Cooling System Model
- Cooling System Effectiveness
DGA Model
Remote Monitoring
SubstationGateway
- Installat ion & Configuration- Data Analysis- Long Term Storage- Diagnostic Messages
MasterCubicle
LocalCubicle
Typical SubstationConfiguration
TMDS 2000L (Centralized Solution)TMDSComponents
Note; In addition to transformer models TMDS has built in diagnostics associated with I/O communication (broken wire), data runaway (sensor error data acquisition) and panel doors and temperature
TMDS® Supports Central Diagnostics Strategies
© Siemens AG 2014 All Rights Reserved.
Page 8 Smart Grid Division
SubstationGateway
SubstationGateway
Remote Monitoring
- Installat ion & Configuration- Data Analysis- Diagnostic Messages
MasterCubicle
MasterCubicle
LocalCubicle
LocalCubicle
Typical SubstationConfiguration
Typical SubstationConfiguration
TMDS 2000L (Centralized Solution) TMDS 2000L (Centralized Solution)TMDSComponents
TMDSComponents
Central DataRepository
Non-Operational
MaintenanceMgmt
System
WorkforceMgmt
System
OperationalDataStore
Enterprise Gateway
Sensor Data sent toTMDS periodicallyfor analysis
Web access- eMail- Paging
Calculated data andalarms, messagessent to data basesor other applications
TMDS® Supports Central Diagnostics Strategies – And Data Integration
© Siemens AG 2014 All Rights Reserved.
Page 9 Smart Grid Division
Remote Monitoring
Installation &Configuration
SubstationGateway
Offline Analysis& Long TermData Capture
Typical SubstationConfiguration
Smart Monitor (Distributed Solution)
Smart Monitor
IEEE/IEC Thermal Model
-Ambient Temperature-Oil Temperature-Winding Temperature-Hot Spot Temperature
Bushing Model
-Relative Capacitance Deviation-Limit Based
-Limit Based
DGA Model
-H , CH , C H , C H , C H ,O CO , CO
2 4 2 4
2 6 2 2 2
2
Moisture Model
- Thermal Calc with Oommen Curve Analysis
Oil Level Model
- Oil Level Calculation with Thermal Expansion
Cumulative Aging Model
- Hot Spot Temp vs Accelerated Aging
-Limit Based
-Limit Based
-Limit Based
Trending Model
- Trending Analysis- Defined Period
Trending Model
- Trending Analysis- Multiple Period
Cooling System Model
- Cooling System Effectiveness-Cooling System Control
- LapTop based tools for off line analysis of data for multiple periods
TMDS® SMART MONITOR Supports Distributed Diagnostics Strategies
© Siemens AG 2014 All Rights Reserved.
Page 10 Smart Grid Division
Front View Rear view
Local Panel
Central Panel
TMDS® Supports Central Diagnostics Strategies
© Siemens AG 2014 All Rights Reserved.
Page 11 Smart Grid Division
TMDS® SMART MONITOR Supports Distributed Diagnostics Strategies