IOT-BASED DISTRIBUTION TRANSFORMER OPERATIONAL STATUS MONITORING AND PROTECTION SYSTEM

Abstract

The power transformer plays an important role in our electrical power distribution networks. To discover the flaw exactly and recognize it, a fault detection and locating system powered by the Internet of Things was installed. It will make it possible for computer team to address these problems more quickly, insulating transformers from harm and a crash. These systems use an Arduino microcontroller, an ESP8266 module, a voltage transformer, a current transformer and temperature sensor. This system automatically locates, analyzes, and classifies problems, and then calculates the fault distance from the control room using a load mechanism. However, our durability is significantly reduced if we are faced to overloading, heating, low or high voltage/current, sudden failures, and loss of supply. To evaluate a transformer's performance and guarantee operational safety, monitoring is necessary. Therefore, it is crucial to frequently check on the loaded distribution transformer's working status. There are two forms of monitoring: offline and online. Monitoring is the observation of transformer conditions. This study presents an IoT-based system for the development of real-time transformer parameter monitoring and control. This technology uses the local transformer to diagnose problems and transmit important parameters to a centralized web server.