Cloud Connected Real-Time Oil Condition Monitoring of UtilityTransformers using Impedance Spectroscopy
Presenter(s)
Birhanu Desta Alemayehu
Files
Description
We present the use of impedance spectroscopy to diagnose the oil condition inutility transformers for condition monitoring. Actual transformer oil sampleshaving different dissolved fault gas and moisture concentrations are obtained andcharacterized by analysing their impedance spectrum over a range of frequenciesfrom 1 kHz to 100 kHz using AD5933 from Analog Devices. From theexperimental results, it has been shown that the impedance spectrum of atransformer oil sample is related to its relative saturation percentage. Here, wepropose an integrated cloud-connected smart system which can continuouslymonitor the condition of oil present inside a utility transformer in real-time. As aproof of concept, the impedance values of oil samples are measured. Theimpedance data obtained is transmitted to a cloud computing interface where thedata is logged and processed. The proposed integrated system is reliable,inexpensive and suitable for implementation on utility transformers.
Publication Date
4-22-2021
Project Designation
Independent Research
Primary Advisor
Guru Subramanyam
Primary Advisor's Department
Electrical and Computer Engineering
Keywords
Stander Symposium project, School of Engineering
United Nations Sustainable Development Goals
Industry, Innovation, and Infrastructure
Recommended Citation
"Cloud Connected Real-Time Oil Condition Monitoring of UtilityTransformers using Impedance Spectroscopy" (2021). Stander Symposium Projects. 2370.
https://ecommons.udayton.edu/stander_posters/2370
