Abstract
Abstract A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved.
Highlights
The continuous and rapid development of China’s economy has led to the rapid development of the power industry
Most of the online monitoring and fault diagnosis models of transformers based on vibration analysis method are simplified and empirical linear models
A small number of diagnosis models based on machine learning method are often affected by external factors, which need to be improved
Summary
The continuous and rapid development of China’s economy has led to the rapid development of the power industry. The system can realize live, real-time monitoring and fault diagnosis of power transformer all day long and remotely through cloud server, so as to improve the safety and stability of transformer operation and the economy and reliability of power grid [16]. An individual manually visits the transformer site at regular intervals of time, to record transformer parameters This type of method is not suitable for monitoring the occasional transformer health involving sudden overloads, oil and winding temperature, etc. IoT-based solutions have made better monitoring and control of distributed transformers by accurate monitoring of voltage, current, and other parameters which can increase the lifespan of transformer maintaining the stability of the grid [19,20].
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