Paper Details

Transformers are one of the most important equipment in power network. As a large number oftransformers are distributed over a wide area in present electric systems, it’s difficult to monitor the condition manuallyof every single transformer. So automatic data acquisition and transformer condition monitoring has been an importantissue. This project presents the design and implementation of a mobile embedded system to monitor load currents, overvoltage and temperature. The implementation of online monitoring system integrates internet of things (IOT) Modem,with single chip Raspberry-pi and sensors. It is installed at the distribution transformer site. The output values of sensorsare processed and recorded in the system memory. System programmed with some predefined instructions to checkabnormal conditions. If there is any abnormality on the system, the IOT module will send SMS (Short Message Service)messages to designated mobile telephones containing information about the abnormality according to the predefinedinstructions. This mobile system will help the utilities to optimally utilize transformers and identify problems before anycatastrophic failure occurs. This system will be an advanced step to the automation by diminishing human dependency.Thus THMS offers a more improved transformer monitoring.

Priyanka R, Chaithrashree N, Sangeetha S, Bhagyalakshmi, Divyashree A, “DESIGN AND IMPLEMENTATION OF REAL-TIME TRANSFORMER HEALTH MONITORING SYSTEM USING RASPBERRY-PI”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 4, pp. 2507-2512, April 2018.