Smart three-phase power transformer utilizing fuzzy logic approach

There are a large number of power distribution transformer stations due to it is far away from city, cable-line, wireless network, GPRS, and 3.5G single transmission device provides a good communication solution to supervise power transformer stations. This paper develops a novel device used to monitor on-line signal for power transformers. The measured-data is captured from multi-sensors and stored in the server equipment database. Besides, these data is used for the prediction of the power transformer life consumption. The transformer life consumption is satisfied with IEEE Standard. Various faults could occur in a transformer such as overload current, overheating, partial discharge and arcing, which can diagnose various fault-related conditions. According to the conventional way of the dissolved gas analysis, the fault is probably determined. As researcher knows, the IEC codes cannot determine the fault in many cases. Therefore, this paper presents a fuzzy logic tool that can be used to diagnosis multiple faults in a transformer and monitor the trend. It has been proved to be a very useful tool for transformer diagnosis and customer servicing.