Intelligent Transformer (I-Transformer)

Kiran Sara Thomas, Melbin Benny, Roy J Mathew, Sebin Jose

Distribution Transformer Monitoring, IoT, Fuzzy Controller, Dissolved Gas Analysis.

Transformers plays a crucial role in the distribution and transmission system. In persisting electrical network, it is hard to manually monitor various conditions of each transformer. So, the requirement of automatic transformer condition monitoring and data acquisition has become a necessity. For the strong run of each nation reliable and safe supply of electricity is essential so the idea of an Intelligent Transformer is put forward. The proposed system comprises of design and implementation of a mobile embedded system to observe load current, voltage, oil level, temperature and humidity. The online monitoring system is executed by integrating the Internet of Things (IoT) with relays and sensors. The data from each sensor is processed and stored in system memory. The system checks for abnormal values in data received depending on predefined conditions and on occurrence it alerts the respected officials through front end application.

The system also consists of a fuzzy controller aided by certain gases formed from the transformer oil. By performing Dissolved Gas Analysis (DGA) on gases fault prediction and diagnostics can be performed on the transformer. The system focuses on improving the efficiency of the transformer monitoring process and provide a reliable supply network.

https://doi.org/10.31871/IJNTR.7.4.18