Fault detection method for capacitive voltage transformer based on multi-parameters

Abstract

The invention discloses a multi-parameter-based capacitive voltage transformer fault detection method. The high-voltage capacitive current and the medium-voltage capacitive voltage are calculated according to the primary current and secondary voltage of the medium-voltage capacitive current intermediate transformer of the capacitive voltage transformer, and the signal is processed. Nine state parameters are calculated: I C2 , I T , U C2 、|Z C2 |, |Z T |, Based on the principal factor analysis method, the dimensionality reduction screening of multiple state parameters is carried out, and various faults of the capacitor voltage transformer are correspondingly judged according to the change of different parameter values. The multi-parameter-based capacitive voltage transformer fault detection method provided by the present invention is simple and accurate, and can effectively detect the operating state of the capacitive voltage transformer under electrified conditions, predict and diagnose faults in time, and ensure the normal operation of the equipment , improve the safety and reliability of the power grid.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of capacitive voltage transformers, and relates to a multi-parameter-based fault detection method for capacitive voltage transformers. Background technique [0002] As an important device for power system protection and signal measurement, the stable operation of capacitor voltage transformer (CVT) is very important to the safety of power grid. In actual operation, due to the limitation of the design level, manufacturing process, and system overvoltage and other factors, after the capacitive voltage transformer is put into operation, excessive dielectric loss of the capacitor unit, breakdown of the capacitor layer, moisture in the intermediate transformer, and compensation often occur. Reactor short-circuit and other faults seriously affect the safe operation of the power grid. Therefore, it has become more and more important to detect the operation state of the capacitor voltage transfor...

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Problems solved by technology

However, the existing dielectric loss detection technology lacks accuracy and has deficiencies in fault prediction; the state detection method based on the secondary voltage can only reflect the change of the voltage dividing capacitance to a certain extent, and cannot realize the detection of the capacitive voltage transformer. Effective detection of each unit; in addition, these methods all rely on the external signal of the capacitive voltage transformer, the measurement method is complicated, there are many interference factors, and the fault diagnosis is not accurate

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