A transformer multi-parameter fault monitoring system and detection method

Abstract

The invention discloses a transformer multi-parameter fault monitoring system and a detecting method. Partial discharge signals and vibration signals are respectively collected; the partial dischargesignals are combined with the vibration signals to obtain one combined signal group; amplitude limiting, filtering, and amplification are carried out on the combined signals and then over-voltage andover-current protection are carried out to obtain analog signal output results; and with one group of analog signal output results, two kinds of fault signals can be detected simultaneously. The partial discharge signals are combined with the vibration signals to obtain one combined signal group by using the signal combination technique; the partial discharge fault of the transformer and the internal vibration fault of the winding can be understood simultaneously by observing one group of signals; and the final analog signal output change can be caused no matter which signal group has a problem, so that a transformer fault result is obtained. Therefore, the detection efficiency is improved and the detection accuracy is enhanced stably. The many references are provided for the workers; andthe fault detection and maintenance pressure of the transformer are reduced substantially.

Description

technical field [0001] The invention discloses a transformer multi-parameter fault monitoring system and detection method, belonging to the field of power system fault detection. Background technique [0002] The power transformer is one of the most important and expensive equipment in the power system. Its main function is to change the voltage level, distribute and transmit electric energy. It is an indispensable hub link in the transmission line. Its normal operation is related to the entire power system. safe and stable. However, a transformer is a power device with a relatively complex internal structure, and there are still many state quantities that can reflect its internal operation, but these state quantities themselves are uncertain, and the relationship between them is also vague. It is still a very challenging task to accurately diagnose the real fault condition of the transformer, and many problems encountered in it still need to be solved. However, if the pow...

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Problems solved by technology

[0003] (1) Insufficient information fusion ability: the difference in transformer specifications is reflected in its internal structure, insulation requirements, and fault degree. The above situations require that the fault diagnosis method used has a strong information fusion ability, but the current Research has not yet met the requirements in this regard;

[0004] (2) Inaccurate fault diagnosis results: At present, most transformer fault diagnosis technologies can only judge the internal fault conditions based on surface phenomena. When the original fault sample size changes, it is difficult to obtain accurate fault diagnosis results;

[0005] (3) Imperfect theoretical system: As we all know, although many effective fault diagnosis methods have been developed in the existing power transformer fault diagnosis technology, most of these methods are algorithm accumulation to some extent, and they do not have a complete theoretical basis. and a systematic concept system;

[0007] At present, the transformer fault detection technology mainly stays in a single fault detection. The method of judging a transformer fault by collecting a single electrical quantity through the device has a certain effect, but there are also obvious shortcomings: there may be no signal when a fault occurs, which makes the staff Comparing the state of the transformer will cause misjudgment, which will affect the safe and stable operation of the power system

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