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Weak fault traveling wave signal denoising and precise recognition method based on Bayes filter

A Bayesian filtering and fault traveling wave technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of poor accuracy and reliability, and achieve power quality optimization, reliable and accurate identification, and traveling wave The effect of improving the accuracy of fault location

Inactive Publication Date: 2017-08-29
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0005] In order to overcome the deficiencies of the existing technology and solve the technical problems of poor accuracy and reliability of the existing traveling wave signal identification methods in the case of noise interference and weak faults, a method for denoising and accurate identification of weak fault traveling wave signals is proposed

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  • Weak fault traveling wave signal denoising and precise recognition method based on Bayes filter
  • Weak fault traveling wave signal denoising and precise recognition method based on Bayes filter
  • Weak fault traveling wave signal denoising and precise recognition method based on Bayes filter

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Embodiment Construction

[0038] figure 1 It is the denoising and identification flow chart of the weak fault traveling wave signal of the present invention. Based on the EMTP simulation platform, a 220kv power transmission and distribution system simulation model is built to study the simulation tests of non-fault lightning strikes, fault lightning strikes and short-circuit faults, and comprehensively summarize and compare different lightning strike faults. The simulation modeling of the lightning current signal under normal circumstances, the search for the waveform difference law, and further improvement and perfection of the theoretical research results provide a complete theoretical basis for the effective identification of weak fault traveling wave signals.

[0039] The sampled weak fault traveling wave signal is a non-stationary time series with the characteristics of abrupt change, which is superimposed on the power frequency signal with various harmonics, interfered by white noise. Therefore, ...

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Abstract

The invention belongs to the field of electrical systems, and relates to a weak fault traveling wave signal denoising and precise recognition method based on a Bayes filter. From the respective of a time domain, a modern signal processing method and a Bayes filter technology are adopted for analyzing and modeling a weak fault traveling wave signal, when main features of an original signal are kept, various kinds of noise jamming in which changes of time domain features are taken as a principle thing are effectively filtered out, instantaneous amplitudes and modeling residual errors of the traveling wave signal are estimated in real time, therefore mutational sites of the travelling wave signal are accurately extracted, reliable and accurate recognition of the weak travelling wave signal is achieved, and thus the accuracy and reliability of travelling-wave based fault location are improved. According to the study, a time domain modeling analytic method of a disturbed traveling wave signal is put forward, various kinds of fault lightning current simulation models are compared and analyzed, and thus accurate recognition of singular points of the weak fault traveling wave signal under various kinds of noise jamming is achieved. The weak fault traveling wave signal denoising and precise recognition method based on the Bayes filter has important theoretical and practical significance in improving the precision of travelling-wave based fault location and pragmatizing travelling wave protection.

Description

technical field [0001] The invention belongs to the field of electric power system relay protection, and relates to a method for denoising and accurately identifying weak fault traveling wave signals based on Bayesian filtering. Background technique [0002] At present, the traveling wave fault location method has high positioning accuracy in theory, so it has been widely researched and applied. The time and position of the mutation point of the fault traveling wave signal represent the specific fault information, therefore, accurate detection of the mutation point of the fault traveling wave signal becomes the key to the location of the traveling wave fault. Based on time-frequency analysis methods such as wavelet analysis and Hilbert-Huang transform, they have been widely used in traveling wave identification and have achieved good fault location results. However, these time-frequency analysis methods still exist in practical applications. Certain limitations. [0003] T...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 席燕辉李泽文曾祥君赵廷张小东肖辉
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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