An Internet of Things (IoT) based Monitoring System for Oil-immersed Transformers

An Internet of Things (IoT) based Monitoring System for Oil-immersed Transformers

While the electricity power industry in the world continues to grow, it also becomes more traceable and smart with the developing technology. Naturally, the integration of these technologies into the electrical power systems brings with an additional cost. Most of the time producers and consumers struggle under the pressure of these additional costs and try new products that will reduce the cost. In this sense, competitive products in the market must be advantageous in terms of cost. In this study, an original IoT based transformer monitoring system has been developed by using open source software, modular and low cost components as an alternative to studies in literature. Arduino Mega 2560 microcontroller has been used as the main component in the system. The system can acquire data from a wide variety of sensors using internal and external transducers. And this data can be saved to the cloud system synchronously with the memory card on the monitoring system. The developed monitoring system has been utilized free and reliable platforms such as the ThingSpeak web interface and PushingBox Notification application. The all test process of the developed monitoring system has been carried out in the laboratory environment on a porotype transformer.

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  • Su, Yu, et al. "Optimal Planning Method of On-load Capacity Regulating Distribution Transformers in Urban Distribution Networks after Electric Energy Replacement Considering Uncertainties." Energies 11.6 (2018): 1457.
  • Biçen, Yunus, and Faruk Aras. "Loadability of power transformer under regional climate conditions: the case of Turkey." Electrical Engineering 96.4 (2014): 347-358..
  • Humayun, Muhammad, et al. "Demand response for operational life extension and efficient capacity utilization of power transformers during contingencies." IEEE Transactions on Power Systems 30.4 (2015): 2160-2169.
  • Osztermayer, J., et al. "Asset management based on improved online monitoring systems applied to a 110/380 kV substation." Power Tech Conference Proceedings, 2003 IEEE Bologna. Vol. 4. IEEE, 2003.
  • Tenbohlen, Stefan, et al. "Diagnostic measurements for power transformers." Energies 9.5 (2016): 347.
  • Kun, Wang. "A survey on energy Internet: architecture, approach, and emerging technologies." IEEE Syst J (2017).
  • Abiri-Jahromi, Amir, et al. "A two-stage framework for power transformer asset maintenance management—Part II: Validation results." IEEE Transactions on Power Systems 28.2 (2013): 1404-1414.
  • Ma, Hui, et al. "Smart transformer for smart grid—intelligent framework and techniques for power transformer asset management." IEEE Transactions on Smart Grid 6.2 (2015): 1026-1034.
  • Velasquez-Contreras, Juan L., Miguel A. Sanz-Bobi, and Samuel Galceran Arellano. "General asset management model in the context of an electric utility: application to power transformers." Electric Power Systems Research 81.11 (2011): 2015-2037.
  • Mariño, Perfecto, et al. "Development of condition monitoring instrumentation for sensing power transformers." INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY. Vol. 1. 2005.
  • Islam, Md Mominul, Gareth Lee, and Sujeewa Nilendra Hettiwatte. "A review of condition monitoring techniques and diagnostic tests for lifetime estimation of power transformers." Electrical Engineering 100.2 (2018): 581-605.
  • Abu-Elanien, Ahmed EB, and M. M. A. Salama. "Asset management techniques for transformers." Electric power systems research 80.4 (2010): 456-464.
  • Murugan, Raji, and Raju Ramasamy. "Failure analysis of power transformer for effective maintenance planning in electric utilities." Engineering Failure Analysis 55 (2015): 182-192.
  • Wagle, Anant M., et al. "Real time web based condition monitoring system for power transformers-Case study." Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on. IEEE, 2008.
  • M. Poongothai, P. M. Subramanian, and A. Rajeswari, “Design and implementation of IoT based smart laboratory,” 2018 5th Int. Conf. Ind. Eng. Appl. ICIEA 2018, pp. 169–173, 2018.
  • H. Jamal, M. F. Nadeem Khan, A. Anjum, and M. K. Janjua, “Thermal Monitoring and Protection for Distribution Transformer Under
  • Residential Loading Using Internet of Things,” 2018 IEEE Glob. Conf. Internet Things, no. January, pp. 1–6, 2019.
  • Tenbohlen, S., and F. Figel. "On-line condition monitoring of power transformers." Power Engineering Society Winter Meeting, 2000. IEEE. Vol. 3. IEEE, 2000.
  • Arabul, Ahmet Yigit, Fatma Keskin Arabul, and Ibrahim Senol. "Experimental thermal investigation of an ONAN distribution transformer by fiber optic sensors." Electric Power Systems Research 155 (2018): 320-330.
  • Deng, Jian‐ Gang, et al. "Hot‐ spot temperature and temperature decay rate measurement in the oil immersed power transformer through FBG based quasi‐ distributed sensing system." Microwave and Optical Technology Letters 59.2 (2017): 472-475.
  • Bengtsson, C. "Status and trends in transformer monitoring." IEEE Transactions on Power delivery 11.3 (1996): 1379-1384.
  • OpenEnergyMonitor, (2019, 6 Mart). [Online]. Erişim: https://learn.openenergymonitor.org/electricity-monitoring/ct-sensors
  • Bagheri, Mehdi, Amin Zollanvari, and Svyatoslav Nezhivenko. "Transformer Fault Condition Prognosis Using Vibration Signals Over Cloud Environment." IEEE Access 6 (2018): 9862-9874.
  • Mohamad, Auday AH, Yaqeen S. Mezaal, and Seevan F. Abdulkareem. "Computerized power transformer monitoring based on internet of things." International Journal of Engineering & Technology 7.4 (2018): 2773-2778.
  • Meana-Llorián, Daniel, et al. "IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions." Future Generation Computer Systems 76 (2017): 275-284.
  • Fioccola, Giovanni B., et al. "Polluino: An efficient cloud-based management of IoT devices for air quality monitoring." Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016 IEEE 2nd International Forum on. IEEE, 2016.
  • Joshi, Shreedhar A., et al. "Home automation system using wireless network." Communication and Electronics Systems (ICCES), 2017 2nd International Conference on. IEEE, 2017.
  • IEEE Guide for Loading Mineral-Oil-Immersed Transformers, IEEE C57.91-1995.
  • Biçen, Yunus, et al. "Aging of Paper Insulation in Natural Ester & Mineral Oil." Electrical and Electronic Engineering 2.3 (2012): 141-146.
  • Agah, SM Mousavi, and H. Askarian Abyaneh. "Quantification of the distribution transformer life extension value of distributed generation." IEEE Transactions on Power Delivery 26.3 (2011): 1820-1828.
  • Vaidya, Chinmay V., et al. "Evaluation of High Temperature Operation of Natural Ester Filled Distribution Transformers." 2018 North American Power Symposium (NAPS). IEEE, 2018.
  • Biçen, Yunus, Faruk Aras, and Hulya Kirkici. "Lifetime estimation and monitoring of power transformer considering annual load factors." IEEE Transactions on Dielectrics and Electrical Insulation 21.3 (2014): 1360-1367.