Alternating current filter state diagnosis method based on wave recording waveform image and artificial intelligence

Abstract

The invention discloses an alternating current filter state diagnosis method based on a wave recording waveform image and artificial intelligence, and the method is characterized in that the diagnosis method comprises the following steps of: S1, acquiring a waveform data file of a certain fault wave recording from a converter station fault wave recording device or a fault wave recording server in an event triggering or timing query mode, wherein the waveform data file is a file in a COMTARDE format, and the COMTARDE format is a general format for transient data exchange of the power system. According to the method, the tripping event of a circuit breaker caused by heritage of the AC filter bank of the converter station can be effectively avoided, the health state of the AC filter bank and the circuit breaker thereof can be analyzed, and the operation condition of the AC filter bank and the circuit breaker thereof can be judged, so that defects are dealt with before fault tripping occurs, unsafe hidden dangers to a power grid are avoided, and meanwhile, by adopting an intelligent mode, on the one hand, the workload of manual analysis can be reduced, and on the other hand, the analysis speed and precision are also improved.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to an AC filter state diagnosis method based on wave recording waveform images and artificial intelligence. Background technique [0002] In the DC transmission system, when the converter performs current conversion, it will generate a large number of harmonics and consume a large amount of reactive power. In order not to bring a burden to the grid, each converter station will operate according to the DC transmission system To transmit power, the corresponding AC filter bank is automatically put into the AC side to provide the reactive power required by the converter and eliminate harmonics to improve the power quality of the grid. Due to the flexibility of DC transmission, the transmission power needs to be adjusted several times a day, so the AC filter is also switched frequently, making the switching frequency of its circuit breaker much higher than that of other line cir...

AI Technical Summary

Problems solved by technology

At present, there have been many domestic AC filter tripping and power drop accidents due to circuit breaker failures, which have greatly affected the output level of DC power.

[0003] In order to avoid the tripping event of the circuit breaker caused by the abnormality of the AC filter bank in the converter station, there is an urgent need for a technical means to analyze the health status of the AC filter bank and its circuit breaker, so as to judge its operation status, so as to prevent the fault Before the trip occurs, the defects are dealt with to avoid unsafe hidden dangers to the power grid

At present, the analysis methods for the abnormal situation of the AC filter bank in the converter station are mainly manual analysis of the fault recording waveform, which lacks the means of automatic intelligent analysis

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