Health monitoring system for oil cooled distribution transformers using IoT

Abstract

The increasing demand for reliable and efficient power distribution systems has led to the widespread use of oil-cooled distribution transformers. However, ensuring the optimal functioning and health of these transformers is crucial to prevent unexpected failures and downtime The proposed system leverages the capabilities of IoT devices to collect real-time data from various sensors installed within the transformers. These sensors monitor critical parameters such as temperature, oil level, voltage, and current. The collected data is transmitted wirelessly to a central monitoring unit, where it is processed and analyzed. The monitoring unit employs IoT to detect and identify potential faults or anomalies in the transformer's operation. By continuously analyzing the collected data, the system can provide early warning signs of impending failures, enabling proactive maintenance and reducing the risk of costly breakdowns. Additionally, the system can generate detailed reports and alerts for maintenance personnel, facilitating prompt intervention and efficient resource allocation.