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International Conference on Remote Engineering and Virtual Instrumentation

REV2019 2019: Cyber-physical Systems and Digital Twins pp 165–183Cite as

Development of Internet of Things Platform and Its Application in Remote Monitoring and Control of Transformer Operation

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 80))

Abstract

Internet of Things platforms deployed on the system will exhibit numerous benefits such as real time monitoring, faster operation and cost effectiveness. A system oriented IoT platform is developed which features database connotation, web services, setup portal, cloud hosting, drivers or listener for programming languages and hardware devices. The functional parameters of transformer in electrical power system vary around the limit and beyond, which is observed by the IoT platform for remote analysis and to report deformation in the winding. The frequency response measurement from the transformer terminal unit is send to cloud database which is then fetched to remote application through IoT client. At remote monitoring tool, the diagnostic algorithm is executed to estimate the location and extent of deformation. IoT based frequency response analyzer and transformer diagnostic tools developed reports the status of the transformer health condition. Depending upon the extent of deformation, the transformer is isolated from power system.

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Acknowledgements

The authors would like to acknowledge and express the deepest gratitude to management of Faculty of Engineering, Christ(Deemed to be University); BMS College of Engineering, and RV College of Engineering for providing freedom to work in the laboratory.

Author information

Authors and Affiliations

  1. Department of Electrical & Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India

    R. Venkataswamy

  2. Department of Electrical & Electronics Engineering, R. V. College of Engineering, Bangalore, India

    K. Uma Rao

  3. Department of Electrical & Electronics Engineering, B. M. S. College of Engineering, Bangalore, India

    P. Meena

Authors
  1. R. Venkataswamy
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  2. K. Uma Rao
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  3. P. Meena
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Corresponding author

Correspondence to R. Venkataswamy .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. Electrono Solutions Pvt. Ltd., Whitefield, Bengaluru, India

    Kalyan Ram B.

Appendices

Appendices

Appendix 1: Glossary

IoT :

Internet of Things

SFRA :

Sweep Frequency Response Analysis

FRA :

Frequency Response Analysis

THD :

Total Harmonic Distortion

AWS :

Amazon Web Services

GCP :

Google Cloud Platform

PaaS :

Platform as a Service

SaaS :

Software as a Service

DPI :

Driving Point Impedance

TDT :

Transformer Diagnostic Tool

VSAT :

Very Small Aperture Terminal

GSM :

Global System for Mobile

DAQ :

Data acquisition

GPRS :

General Packet Radio Service

RTOS :

Real-Time Operating System

DIT :

Deformation Information Tableau

DDIT :

Differential Deformation Information Tableau

Appendix 2: IoT Platform

1.1 2.1 IoT Details

The URLs of the application are shown in Table 3.

Table 3. IoT details
Full size table

1.2 2.2 Hardware Selection and Identity

The user should select the hardware, cryptosystem type and data format. The database infrastructure is created against the user id and pin. The sample option and generated credentials are shown in Fig. 12.

Fig. 12.
figure 12

Hardware selection and identity

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1.3 2.3 Console

Web service get and post operation can be perform in the console without programming language or service program. The user should enter service name without the application context. The FRA IoT setting retrieved using console is shown in Fig. 13.

Fig. 13.
figure 13

Console

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Appendix 3: Frequency Response Analyzer

The dashboard shown in Fig. 14 will display status of DAQ, internet, IoT connection, instantaneous values of frequency, magnitude and phase. The provisions given the tool are DAQ settings, IoT settings and Upload to cloud.

Fig. 14.
figure 14

Dashboard

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Appendix 4: Transformer Diagnostic Tool

The cross correlation of signature and deformed FRA is calculated. The differential deformation information tableau is generated by comparing the value with DIT. The graphical window is shown in Fig. 15.

Fig. 15.
figure 15

Transformer winding diagnostics tool window

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Venkataswamy, R., Rao, K.U., Meena, P. (2020). Development of Internet of Things Platform and Its Application in Remote Monitoring and Control of Transformer Operation. In: Auer, M., Ram B., K. (eds) Cyber-physical Systems and Digital Twins. REV2019 2019. Lecture Notes in Networks and Systems, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-23162-0_16

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