Computerized power transformer monitoring based on internet of things

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Distributed transformers are imperative equipment in power networks. Due to large amount of transformers distributed over a widespread area in power electric systems, the data acquirement and condition monitoring is essential concern. In spite of security and automation in plants, industrial environment is relatively critical for machines and humans. This study deals with a safety in industrial condition. A model has been designed to detect dangerous situations like breakdown that is the most essential parameter for occurring leakage current in substation and gas leakage based on faults data source file from distinguished sources. Reached outcome will be executed in IoT (Internet of Things) gateway design, to augment technical implementation with scalability. It consists of Node-MCU, node red server, mosquito server that serves as negotiator amid Node-MCU and node red server and Thingspeak IoT platform. Data processing has been completed at Thingspeak IoT platform so that the monitored quantity can be displayed frequently or at scheduled intervals of time. These processed results have been statistically further analyzed using SPSS software package.

     

     




  • Keywords


    Transformer Monitoring; IoT; Node-MCU; Node Red Server; Mosquito Server; and Thingspeak IoT Platform.

  • References


      [1] M.Stusek, et al.,A non-invasive electricity measurement within the smart grid landscape: Arduino-based visualization platform for IoT”, 9th International Congress on Ultra-Modern Telecommunications and Control Systems and Workshops, Munich, Germany, (2017).

      [2] V. C. Gungor, et al.,”Opportunities and Challenges of Wireless Sensor Networks in Smart Grid”, IEEE Transactions on Industrial Electronics, Vol. 57, No. 10, (2010), pp. 3557 - 3564. https://doi.org/10.1109/TIE.2009.2039455.

      [3] Z. Moravej, S. Bagheri , ”Condition Monitoring Techniques of Power Transformers: A Review”, Journal of operation and Automation in Power Engineering , Vol. 3, No. 1, (2015), pp. 71-82.

      [4] K. Devi, S. L. Shimi,”Design of Online Condition Assessment of Transformer Oil for Incipient Fault Detection”, International Journal of Engineering Trends and Technology, Vol. 31, No. 2, (2016).

      [5] S. Ghoneim, K. A. Shoush,”Diagnostic Tool for Transformer Fault Detection Based on Dissolved Gas Analysis”, OSR Journal of Electrical and Electronics Engineering, Vol. 9, No. 5, (2014), pp. 20-26.

      [6] E. Macedo, et al.,”Wireless sensor network applied to ZnO surge arrester”, International Symposium on High Voltage Engineering, Hanover, Germany, (2011).

      [7] R. Moghe, et al.,”A Low-Cost Wireless Voltage Sensor for Monitoring of MV/HV Utility Assets”, IEEE Transactions on Smart Grid,Vol. 5, No. 4, (2014), pp. 2002-2009. https://doi.org/10.1109/TSG.2014.2304533.

      [8] L. Juan, et al., ”Online Insulation Monitoring System of High-voltage Capacitive Substation Equipment Based on WSN”, China International Conference on Electricity Distribution ,Nanjing, China , (2010), pp.1 -6.

      [9] X. Wang, et al.,” Reliability Test of Using 802.11b Technology in Switchgear for Measurement and Control”, In: International Conference on Power System Technology, Chongqing, China, (2006), pp. 1 - 6.

      [10] P.P. Parikh,et al.,”A Comprehensive Investigation of Wireless LAN for IEC 61850–Based Smart Distribution Substation Applications”, In: IEEE Transactions on Industrial Informatics, Vol. 9, No.3, (2013), pp. 1466. https://doi.org/10.1109/TII.2012.2223225.

      [11] V. Tadavarthy, A. Broota,”Smart Power Monitoring System”, International Journal of Science and Research, Vol. 5, No. 7, (2003).

      [12] P. Sindhuja, M. S. Balamurugan,” Smart Power Monitoring and Control System through Internet of things using Cloud Data Storage”, Indian Journal of Science and Technology, Vol. 8, No. 19, (2015). https://doi.org/10.17485/ijst/2015/v8i19/76698.

      [13] http://www.nodemcu.com/.

      [14] https://mosquitto.org/.

      [15] https://thingspeak.com/.

      [16] IEEE Std. C57.104-2008 (2009), IEEE guide for the interpretation of gases generated in oil-immersed transformers”.

      [17] R. Pandey, M.T. Deshpande2, ” Dissolved Gas Analysis (DGA) of mineral oil used in transformers”, International Journal of Application or Innovation in Engineering & Management , Vol. 1, No. 2,(2012).

      [18] N.V. Reddy , Dissolved Gas Analysis-An Early Identification of Faults in High Voltage Power Equipment using MATLAB GUI, M.S. Thesis, Dept. of Elec. Eng., Nat. Instit. Of Tech., Rourkela.


 

View

Download

Article ID: 16280
 
DOI: 10.14419/ijet.v7i4.16280




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.