Method for analyzing level signals and method for triggering release

Abstract

The invention discloses a method for analyzing level signals. The method comprises the following steps: firstly, performing wavelet analysis on the level signals to find out signal mutation points; secondly, performing discretization on a sampled value of the signal mutation points by using a Fourier algorithm to calculate an effective value of the sampled value; and finally, comparing the effective value with a preset fault protection threshold value, if the effective value does not exceed the threshold value, determining that the signal mutation points are not fault points, and returning to a wavelet algorithm to continuously detect the mutation points, and if the effective value exceeds the threshold value, determining that the signal mutation points are fault points, and outputting corresponding signals. The invention also provides a method for triggering a release on the basis of the method for analyzing the level signals. According to the methods disclosed by the invention, the wavelet analysis and Fourier transformation are combined together to detect the fault points of the signals, so that the methods have the advantages of high reaction speed to faults and high sensitivity and real-time performance, thereby greatly improving the releasing performance of the release.

Description

technical field [0001] The invention relates to the field of releases, in particular to an analysis method for a level signal and a method for triggering a release. Background technique [0002] The circuit breaker is a crucial device in the power control system, and the smart tripper is the core component of the circuit breaker. The action of the smart tripper directly affects the reliability and accuracy of the circuit breaker. The design of the tripper is The key to the accurate operation of the circuit breaker. [0003] In the design of the release, one of the prerequisites for the success of the current quick-break protection is whether the moment of the fault can be correctly judged in time. Before the advent of wavelet analysis, Fourier transform was widely used in signal processing. Fourier transform is used in the protection control algorithm to determine the fault condition by calculating whether the effective value of the fundamental component is greater than th...

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Problems solved by technology

Fourier transform is used in the protection control algorithm to determine the fault condition by calculating whether the effective value of the fundamental component is greater than the threshold value, such as the Chinese open patent: 200910180810.9. Although the judgment task can be completed in this way, the real-time performance is not high and the response is slow. Severely limits the tripping protection performance of the trip unit

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