Siemens TMDS transformer monitoring and diagnostic system. Solutions for transformer life-cycle management. Answers for energy.

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1 Siemens TMDS transformer monitoring and diagnostic system Solutions for transformer life-cycle management Answers for energy.

2 We strive to unlock value in your transformer monitoring and Smart Grid investments. TMDS delivers decision support to the right personnel in the context of actionable information Selecting a transformer monitoring solution is a critical step in achieving your company s Smart Grid asset management strategy. Transformer monitoring requires the integration of sensors, data management and analysis to turn sensor data into useful knowledge, and then an overlay of software applications to turn knowledge into actionable information. Appropriate online monitoring and diagnostic tools can help utilities avoid unplanned failures, lower maintenance costs and extend useful transformer life. Siemens TMDS is an expert system combining multiple engineering models with advanced techniques of statistical learning, far exceeding existing monitoring concepts of simple measurement of operative condition with pre-fixed limits. Designed to provide transformer monitoring and diagnostics for transformers in a substation or across multiple substations, TMDS turns transformer monitoring data into actionable information by translating combustible dissolved gas, bushing capacitance deviation, moisture and other sensor measured data into diagnostic and prognostic messaging. TMDS provides alarming and trending using models that work with rule-based logic, derived from accepted IEEE/ANSI guidelines and Siemens extensive transformer design, production and testing expertise, to perform correlations on both measured and calculated data. Alarm messaging includes maintenance support and suggested loading recommendations should TMDS classify that the observed deviation may result in the damage or potential failure of the transformer. Additionally the TMDS can perform cooling system control functions by initiating staged cooling to optimize transformer operating temperatures. The Siemens TMDS advantages include the following: Best-in-class transformer monitoring and diagnostic system Advanced detection of abnormal conditions Provides 24/7 access to current operational data, trends, alarm history and messaging remotely or from a central location Flexible, scalable architecture Supports customer preferences in transformer sensing technologies Automatically detects bad sensor data to avoid false diagnosis Configurable for legacy transformers. The Siemens advantage: More than 100 years of transformer manufacturing expertise Over 500 employees dedicated to developing innovative transformer life-extension solutions to support legacy transformers Globally, we have over $108B in sales, 480,000 employees and spend $7.3B in R&D investment per year. 2 3

3 Configurable to monitor a single transformer or an entire fleet of transformers to support a customer s centralized approach to asset management TMDS architecture uses models that work with rule-based logic, derived from accepted IEEE/ANSI guidelines, to perform correlations on measured and calculated data TMDS turns transformer monitoring data into actionable information through diagnostic and prognostic messaging Variables monitored, depending on sensors installed, include: 1. Winding temperature 2. Top and bottom oil temperatures 3. Ambient temperature 4. Load current 5. Fan motor current 6. Oil flow (pump motor) 7. Moisture in oil Aquaoil Vaisala 8. Dissolved gas in oil Multi-gas Serveron TM8 Siemens GAS-Guard 8 Kelman MULTITRANS Single-gas Calisto Hydran. Bushing condition Doble IDD HSP 10. LTC monitoring 11. Oil level IEEE/IEC thermal model - Ambient temperature - Oil temperature - Winding temperature - Hot spot temperature Bushing model - Relative capacitance deviation DGA model - H 2, C 2 H 4, C 2 H 2, C 2 H 6, CH 4,O 2 CO, CO Moisture model - Paper moisture calculation using thermal model and Oommen curve analysis LTC monitoring model - Evaluation of position indication, contact wear and torque Operational thermal load limit models - Hot spot temperature for new load point Cumulative aging model - Accelerated aging derived from hot spot temperature Trending model - Trending analysis Cooling system model - Cooling system monitoring - Cooling system control A B C D E F Rule Prognosis and correlation model (rule/table based) Duval s analysis was performed. In case gas formation shows stability, no further action is recommended. TMDS will re-assess Duval s analysis within 24 hours. Region of Duval s Triangle = T2 - Thermal Fault, 200(degrees) C < T < 700 (degrees) C. Reduce load by 25 percent and re-assess transformer behavior. In case it persists, must undertake immediate internal inspection to establish cause of fault. Complete data access Customer has 24/7 access to current operational data, trends, alarm history and diagnostic/prognostic messaging from a central location or remotely. TMDS - 24/7 expert looking after your most valuable asset Is the monitored parameter normal? Is there a detectable trend? If so, how important is it? Any operational risk? Any historical behavior associated with the deviation? How are the peer phases or other units? Any correlation with other monitored parameters? Efficient data acquisition TMDS can detect statistically significant breakouts before hard limits are reached to avoid nuisance trips and alarms, far exceeding existing monitoring concepts of simple measurement of operative condition with pre-fixed limits. Only meaningful data is retained to support correlation between variables. TMDS creates statistical definitions (mean, standard deviation with 5% confidence interval) during defined learning period. Statistical definition changes are monitored for potential statistical breakouts by analyzing shifts of means and spread of standard deviations. TMDS data handling process Performs continuous calculations and diagnosis Assesses deviations from normality Compares historical behavior of correlated variables, peer phases and similar monitored units Sends report encompassing the observed deviation and behavior of other monitored phases/units Recommends maintenance activity to address abnormal operation Suggests loading recommendations Provides overview of possible consequences (prognostics) if current trend or parameter deviation continues. Trade names, trademarks or service marks used herein are owned by the respective third parties

4 TMDS can easily be installed on new or legacy transformers from any manufacturer utilizing existing sensors Comprehensive data requires powerful analytical tools Siemens answers for transformer monitoring Actionable information Delivers statistically relevant abnormal operating data and alarm conditions Indicates potentially related or causal relationships between transformer components and alarmed condition Provides maintenance support to address abnormal operation Suggests loading recommendations through models using actual field data. Self diagnostic TDMS automatically detects bad sensor data to avoid false diagnosis. Flexible architecture Data available to enterprise data management system via OPC compliant interface to reduce cost of database management Fiber optic ring arrangement for improved system reliability Communicates with sensors by serial, analog and digital interfaces Supports fiber optic and wireless based communication mediums Can be combined with other asset monitoring systems via substation gateway. Sensing technology agnostic Due to the large availability of sensors in the market, TMDS is designed to support data acquisition from different manufacturers sensors. Supports customer preference in transformer sensing technologies Allows customer to incorporate appropriate sensing technology based upon transformer importance. Complete data access Customer has 24/7 access to current operational data, trends, alarm history and diagnostic/prognostic messaging from a central location or remotely. Configurable for legacy transformers Legacy transformers are unique in that they each have a specific operational history. Siemens TDMS allows easy customization of alarm levels, taking into account the specific behavior of each transformer, improving diagnostics quality. Select from a suite of analysis applications. The following transformer specialist models are provided with TMDS : Bushing relative capacitance deviation Evaluation of bushing insulation condition. Insulation moisture Evaluation of oil moisture condition and estimated moisture in paper. Thermal Hot spot evaluation by ANSI, IEC and Siemens proprietary methods. Ageing and life expectancy Evaluation of relative loss of life and relative ageing by ANSI, IEC or ABNT methods. Cooling system monitoring Evaluation of proper cooling system operation by monitoring the load current of the fan groups and oil or water flow (depending on the cooling system). Conservator oil volume Provides advanced notification of conservator oil volume before reaching lowest acceptable level. Cooling system control Controls the cooling system by calculating the future hot spot as a function of the current loading and temperature, also executing periodical cooling groups exercise. Dissolved gas-in-oil Evaluation of limit values of gas generation in oil (depending on sensors installed, may include methane, ethylene, acetylene, ethane, carbon dioxide, hydrogen, oxygen and carbon monoxide). Analysis and indication of incipient faults using the Duval triangle CO 2 /CO ratio and TDCG level (total dissolved combustible gases) methods. LTC monitoring Evaluation of position indication, contact wear calculation and torque for comparison with learned values. Siemens provides a comprehensive suite of transformer life-cycle management solutions specifically designed to meet your needs. TMDS Supports a central diagnostic strategy where responsibility for fleet wide asset analysis and budget preparation is centralized. Field teams are typically dispatched by central maintenance or asset management groups. Differences in functionality and architecture between TMDS and TMDS Smart Monitor Provides monitoring and diagnostics for transformers in one or across multiple substations Provides advanced detection of abnormal conditions Supports customer preference in sensing technologies Automatically detects bad sensor data to avoid false diagnosis Provides maintenance support and loading recommendations to address abnormal operation TMDS TMDS Smart Monitor The TMDS Smart Monitor supports a distributed diagnostic strategy where responsibility for responding to alarms and providing diagnostic expertise is regionally distributed. Field teams are self-sufficient in assessing asset condition, performing tests and arriving at corrective actions to be taken. TMDS Smart Monitor Stand alone monitor for single transformer Provides overview of possible consequences (prognostics) if current trend or parameter deviation continues Location of historical data and diagnostic information Central TMDS engineering server Smart Monitor flash memory Access to data and diagnostic information Active monitoring remotely via customer intranet Active monitoring via Smart Monitor touch screen or remotely via Smart Monitor web server TMDS provides advanced charting capability based on transformer operational data. In this example, a change in bushing capacitive deviation with no significant change in line voltage indicates a loss of an intermediary capacitive layer. TMDS issues a diagnostic describing the event and recommends corrective action while also providing future trend and prognosis. Cooling system control Creates and monitors statistical definition for multiple parameters Performs correlation between multiple parameters and across multiple transformers 7 8

5 Published by and copyright 2010: Siemens AG Energy Sector Freyeslebenstrasse Erlangen, Germany Siemens Energy, Inc Siemens Road Wendell, NC 2751 For more information, contact +1 (800) Siemens Canada Limited 1550 Appleby Line Burlington, Ontario, Canada +1 (05) Order No. E50001-F730-A US Printed in USA BU F BR All rights reserved. Trademarks mentioned in this document are the property of Siemens AG, its affiliates, or their respective owners. Subject to change without prior notice. The information in this document contains general descriptions of the technical options available, which may not apply in all cases. The required technical options should therefore be specified in the contract.

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