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Utility Power Transformers’ Performance Enhancement in Smart Grids

  • Ajit KhandekarEmail author
  • Amrit Mishra
  • Hardik Shah
  • Bhargav Dave
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 580)

Abstract

Power Transformers (PT) are one of the most critical components of a Transmission & Distribution (T & D) Utility in terms of its impact on network availability. Apart from criticality, it is one of the costliest equipment in a substation comprising up to 60% of total investment. Multiple operational and environmental factors such as overloading, moisture, heat, progressive ageing, and so on lead to deterioration of insulation (winding and bushing), oil quality and so on result in decreasing PT operational efficiency and lifespan. It is crucial to assess the health condition of such PTs continuously to realize improved efficiency, early fault detection & diagnostics, prediction of maintenance requirements, and reinvestment strategy. The solution is developed to monitor and predict the performance of PT. Data Historian/Cloud Platform acts as a data lake and model repository to fetch online parameters and offline test results integrating with multiple data sources such as SCADA, online Dissolved Gas Analyzer device, Bushing monitor and the Enterprise Resource Planning (ERP) system. Asset Health Index (AHI) for PT is calculated using a multi-criteria analysis approach to derive a quantifiable figure which represents the condition based health of the PT. AHI calculation not only considers online parameters such as DGA, Load, Bushing tan delta capacitance, but also the offline test results such as power factor, Degree of Polymerization, Polarization Index, Winding Resistance and so on. Duval Triangle and IEC Ratio techniques employed in the solution for detecting the incipient fault and diagnosing nature (thermal/electrical) and location (paper/oil) of fault when it occurs. The deployed solution can help the Utilities in: (1) Adopting condition based maintenance strategy moving away from schedule based maintenance; (2) preventing unwanted breakdowns; and (3) Prioritize planning to achieve optimal balance between maintenance and replacement strategy. This paper discusses about the challenges faced by the Utilities in managing the PTs, which has crossed significant life span and the solution to resolve the challenges, taking into consideration maintenance practice followed in Utilities, availability of measurement/test data in Utilities and recommendations of international standards.

Keywords

Power transformer Asset performance management Asset health index Duval triangle IEC ratio DGA 

Notes

Acknowledgements

The authors would like to show their gratitude to Dr. Krishna Prasad, Mr. Manish Singh and Mr. Mangesh Pawar for their valuable support and guidance in completing the work.

References

  1. 1.
    Jahromi AN, Piercy R, Cress S, Service J, Fan W. An approach to power transformer asset management using health index. Kinectrics Inc., Transmission and Distribution TechnologiesGoogle Scholar
  2. 2.
    Facilities instructions, standards, and techniques volume 3-31 transformer diagnostics. United States Department of the Interior Bureau Of ReclamationGoogle Scholar
  3. 3.
    IEEE Std C57.104-1991 (1991) IEEE guide for the interpretation of gases generated in oil-immersed transformers. Transformer Committee of PESGoogle Scholar
  4. 4.
    IEC standard for Mineral oil-impregnated electrical equipment in service—guide to the interpretation of dissolved and free gas analysis (1999) IEC 60599 standardGoogle Scholar
  5. 5.
    Alghamdi AS, Muhamad NA, Suleiman AA. DGA interpretation of oil filled transformer condition diagnosisGoogle Scholar
  6. 6.
    Ciulavu CA. Techniques for incipient fault diagnosisGoogle Scholar
  7. 7.
    Duval M. New frontiers of DGA interpretation for power transformers and their accessoriesGoogle Scholar
  8. 8.
    Shrivastava K, Choubey A. A novel association rule mining with IEC ratio based dissolved gas analysis for fault diagnosis of power transformers. Int J Adv Comput ResGoogle Scholar
  9. 9.
    Naderian A, Cress S, Piercy R, Fan W, Service J. An approach to determine the health index of power transformers. Kinectrics Inc., Transmission and Distribution TechnologiesGoogle Scholar
  10. 10.
    Nejedly J, Newesely G. Evaluation Of The Extent Of Ageing Of Paper In Oil-Immersed Power Transformers. CIGREGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ajit Khandekar
    • 1
    Email author
  • Amrit Mishra
    • 1
  • Hardik Shah
    • 1
  • Bhargav Dave
    • 1
  1. 1.Tata Consultancy Services Ltd.MumbaiIndia

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