A Transformer Online Monitoring Device

Abstract

The invention discloses a transformer on-line monitoring device, which is used for real-time monitoring of the operating environment and state of the transformer body. The monitoring device includes an oil chromatography on-line analysis device, a transformer bushing on-line monitoring device, a temperature sensor, a transformer vibration sensor, a transformer partial discharge ultrasonic detection sensor, and a host computer; the host computer communicates with the oil chromatography on-line analysis device, The transformer bushing on-line monitoring device, temperature sensor, transformer vibration sensor and transformer partial discharge ultrasonic detection sensor are connected. The online monitoring device in the present invention collects various parameters related to the operating environment and state of the transformer based on multiple sensors to monitor and evaluate the operating state of the transformer in real time. It is suitable for transformers with different voltage levels and has the advantages of accurate data transmission speed, Advantages such as little interference.

Description

technical field [0001] The invention belongs to the technical field of transformers, and in particular relates to an online transformer monitoring device. Background technique [0002] Transformers undertake the tasks of voltage conversion, power distribution and transfer in the power system, and the normal operation of the transformer is an important guarantee for the safe, reliable, economical operation and power supply of the power system. Transformers are prone to failures and accidents during long-term operation. Because there are many reasons for transformer faults and accidents, it is more urgent to diagnose and predict faults in an early stage. At present, the more common fault diagnosis method is to judge the fault degree and some fault types through the oil chromatographic monitoring device, but the specific location of the internal fault of the transformer is not easy to detect, especially for the partial discharge location in the transformer. It is difficult to ...

AI Technical Summary

Problems solved by technology

At present, the more common fault diagnosis method is to judge the fault degree and some fault types through the oil chromatographic monitoring device, but the specific location of the internal fault of the transformer is not easy to detect, especially for the judgment of the partial discharge position in the transformer.

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