Cloud Connected Real-Time Oil Condition Monitoring of UtilityTransformers using Impedance Spectroscopy

Title

Cloud Connected Real-Time Oil Condition Monitoring of UtilityTransformers using Impedance Spectroscopy

Authors

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 Posters, School of Engineering

United Nations Sustainable Development Goals

Industry, Innovation, and Infrastructure

Cloud Connected Real-Time Oil Condition Monitoring of UtilityTransformers using Impedance Spectroscopy

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