An Experimental Setup for Monitoring Distribution Transformer Health

Authors

  • Giri Rajanbabu Venkatakrishnan Department of Electrical and Electronics Engineering, Sri Sivasubranamiya Nadar College of Engineering, Kalavakkam, Chennai, India
  • Ramasubbu Rengaraj Department of Electrical and Electronics Engineering, Sri Sivasubranamiya Nadar College of Engineering, Kalavakkam, Chennai, India
  • Arvindswamy Velumani Department of Electrical and Electronics Engineering, Sri Sivasubranamiya Nadar College of Engineering, Kalavakkam, Chennai, India

DOI:

https://doi.org/10.13052/dgaej2156-3306.3532

Keywords:

Distribution transformer, Arduino Uno, MFM384-C, HYT939, Ultrasonic Sensor, SIM900a GSM Module, Thingspeak Server.

Abstract

The Distribution transformers are the most expensive and important component which are used for transmission and distribution of electrical energy.
It is imperative that the transformers function correctly without any faults,
and should any faults occur, the same should be detected and corrected as
soon as possible to prevent the failure of the power system to supply power.
Health monitoring systems of distribution transformers are used to diagnose
the distribution transformer and to deduce its working condition under the
occurrence of incipient faults. This paper presents a model of a health
monitoring system for distribution transformers in a laboratory environment.
The proposed model ensures that faults do not disrupt the regular supply of
power.

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Author Biographies

Giri Rajanbabu Venkatakrishnan, Department of Electrical and Electronics Engineering, Sri Sivasubranamiya Nadar College of Engineering, Kalavakkam, Chennai, India

Giri RajanBabu Venkatakrishnan working as Associate Professor in the
Department of Electrical and Electronics Engineering, Sri Sivasubramaniya
Nadar College of Engineering, Kalavakkam. He has 4 years of teaching
and research experience in the field of Artificial Intelligence and Renewable
Energy Sources. He received his B.E Electrical and Electronics Engineering degree from Sri Sivasubramaniya Nadar College of Engineering, M.E.
Control Systems from PSG College of Technology and Ph.D. from Anna University Chennai. During his Ph.D. he developed modifications in optimization
Algorithms and developed a novel approach for solving power system problems incorporating renewable energy sources. He has published over 10
research publications in refereed international journals and in proceedings
of international conferences and he has coauthored engineering books that
are published by Tata McGraw Hill and Pearson.

Ramasubbu Rengaraj, Department of Electrical and Electronics Engineering, Sri Sivasubranamiya Nadar College of Engineering, Kalavakkam, Chennai, India

Ramasubbu Rengaraj working as Associate Professor in the Department of
Electrical and Electronics in Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Chennai. He has 15 years of teaching and research experience in the field of Artificial Intelligence, Machine Learning, Renewable
Energy Sources and Speciality Cables. He received his B.E. Electrical and
Electronics Engineering degree from Manonmaniam Sundaranar University,
M.E. Power Systems Engineering and Ph.D. from Anna University, Chennai.
He has published over 70 research publications in refereed national and
international journals and in proceedings of international conferences. He had
Co-authored books published by Pearson Education and Tata McGraw Hill.
He has also received TATA Rao Gold Medal from Institution of Engineers
(India) for the publication of best paper in Electrical Engineering Division.

Arvindswamy Velumani, Department of Electrical and Electronics Engineering, Sri Sivasubranamiya Nadar College of Engineering, Kalavakkam, Chennai, India

Arvindswamy Velumani, Head of New Initiatives at Predictive Energy
Instruments Private Limited which is subsidiary unit of Power Economy.
Power Economy is one of the market leaders in the middle-east region for
over a decade in design, manufacture and supply of a wide range of low,
medium and high voltage products & solutions that enhance the quality &
reliability of power from 415 V to 400 kV

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Published

2021-04-20

How to Cite

Venkatakrishnan, G. R. ., Rengaraj, R. ., & Velumani, A. . (2021). An Experimental Setup for Monitoring Distribution Transformer Health. Distributed Generation &Amp; Alternative Energy Journal, 35(3), 195–208. https://doi.org/10.13052/dgaej2156-3306.3532

Issue

2020: Vol 35 Iss 3

Section

Articles