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.
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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 :
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Driving Point Impedance
- TDT :
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Transformer Diagnostic Tool
- VSAT :
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Very Small Aperture Terminal
- GSM :
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Global System for Mobile
- DAQ :
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Data acquisition
- GPRS :
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General Packet Radio Service
- RTOS :
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Real-Time Operating System
- DIT :
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Deformation Information Tableau
- DDIT :
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Differential Deformation Information Tableau
Appendix 2: IoT Platform
1.1 2.1 IoT Details
The URLs of the application are shown in Table 3.
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.
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.
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.
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.
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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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DOI: https://doi.org/10.1007/978-3-030-23162-0_16
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