Converter transformer fault online diagnosis method based on three-sensor reasoning

Abstract

The intention discloses a converter transformer fault online diagnosis method based on three-sensor reasoning, and belongs to the technical field of ultra-high voltage direct-current power transmission device fault diagnosis. The method includes the steps of obtaining online data of a converter transformer by using online detection instruments, including the ultra-high frequency detection instrument, the broadband pulse detection instrument and the transient earth voltage (TEV) detection instrument, which can be obtained on projects at present as three sensors; calling the actually-measured online data of the converter transformer to achieve fault diagnosis, wherein effective discharging information is extracted from the actually-measured online data of the converter transformer, three types of sensor characteristic space are established, the fault diagnosis results of the three types of sensor characteristic space are obtained, the differences and similarities of the fault diagnosis results are judged, the diagnosis results are finally output, reasoning is conducted on data of the three sensors, and the final diagnosis results under the condition are obtained. By means of the method, the converter transformer fault diagnosis accuracy is effectively improved, and the online diagnosis of the transformer converter fault is achieved.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of ultra-high voltage direct current transmission equipment, and in particular relates to an online fault diagnosis method of a converter transformer based on three-sensor reasoning. Background technique [0002] The UHV DC transmission project is one of the key construction projects in my country. With the operation of the DC transmission line, the safe and stable operation of the DC equipment has been widely mentioned. As the key equipment in the DC transmission system, the normal operation of the converter transformer Operation is related to the stability of the entire DC system. Insulation problems are the main cause of failures of converter transformers. At present, the most effective way to ensure the safe operation of equipment is to realize the fault diagnosis of converter transformers, which is helpful for timely detection of problems, early response, avoiding serious economic loss...

AI Technical Summary

Problems solved by technology

[0003] At present, there are few methods for fault diagnosis of converter transformers, and a single sensor is mostly used to obtain discharge data during off-line measurement for fault diagnosis. Therefore, this method has the following problems. First, the diagnosis accuracy is insufficient, and the diagnosis results are not rich enough. , can not fully reflect the possible fault conditions of the converter transformer; secondly, the diagnosis method is offline, so the fault problem cannot be found in time, and the real-time performance of the early warning diagnosis of the converter transformer is lacking.

Images