Online distribution service transformer health assessment using real-time grid energy monitor

This paper presents an online method of monitoring the health of distribution service transformers using data from a real-time data acquisition and analysis system located at the transformer. The results can be provided to utility operators in near real-time, enabling them to assess the status of the distribution transformer and take actions to avoid or mitigate costly transformer failures and service outages. After thorough review of potential non-invasive monitoring techniques, top oil temperature, vibration, transformer loading, and power factor were chosen as monitored parameters, and the overall health index is determined using fuzzy logic. A case study is implemented on a specific distribution transformer to show the advantages of the proposed method.

[1]  Divyank Srivastava,et al.  Transformer Health Monitoring System Using Internet of Things , 2018, 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

[3]  N. R. Bhasme,et al.  Review of critical analysis for life estimation of power transformer , 2017, 2017 4th International Conference on Power, Control & Embedded Systems (ICPCES).

[4]  Susan Redline,et al.  IEEE Guide for Loading Mineral- Oil-Immersed Transformers and Step-Voltage Regulators , 2012 .

[5]  Rattanakorn Phadungthin,et al.  Condition assessment of the health index for power transformer , 2012, 2012 Power Engineering and Automation Conference.

[6]  B. Garcia,et al.  Transformer tank vibration modeling as a method of detecting winding deformations-part I: theoretical foundation , 2006, IEEE Transactions on Power Delivery.

[7]  Andrés Pavas,et al.  Analysis of Maintenance in Transformers Based on a Fuzzy Logic Method , 2018, 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA).

[8]  Chao-Ming Huang,et al.  Fault Diagnosis of Power Transformers Using Computational Intelligence: A Review , 2012 .

[9]  Gajanan C. Jaiswal,et al.  Remote condition monitoring system for distribution transformer , 2014, 2014 Eighteenth National Power Systems Conference (NPSC).

[10]  Raji Murugan,et al.  Understanding the power transformer component failures for health index-based maintenance planning in electric utilities , 2019, Engineering Failure Analysis.

[11]  R. Piercy,et al.  An Approach to Determine the Health Index of Power Transformers , 2008, Conference Record of the 2008 IEEE International Symposium on Electrical Insulation.

[12]  M. Arshad,et al.  A Novel Fuzzy Logic Technique for Power Transformer Asset Management , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[13]  N. Pattanadech,et al.  The new developed Health Index for transformer condition assessment , 2016, 2016 International Conference on Condition Monitoring and Diagnosis (CMD).

[14]  T. Weidinger.  COMPEL : The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Article : Common mode oscillations in electrical drive systems , 2013 .

[15]  Zhang Xuewei,et al.  Research on transformer fault diagnosis method and calculation model by using fuzzy data fusion in multi-sensor detection system , 2019, Optik.

[16]  Irina V. Davidenko,et al.  Analysis of the modern methods of the power transformers health index calculation , 2017, 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

[17]  Sanjay Bahadoorsingh,et al.  Multifactorial Frameworks Modelling Linkages of Power Transformer Failure Modes , 2018, 2018 IEEE Electrical Insulation Conference (EIC).