Power transmission line short circuit fault diagnosis method based on empirical wavelet transformation and local energy

A short-circuit fault and empirical wavelet technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of time-frequency characteristic performance of short-circuit faults that affect EMD, the final component contains residual noise, and modal aliasing. , to achieve the effect of good application effect, good noise resistance and strong adaptability

Active Publication Date: 2017-12-08
JILIN INST OF CHEM TECH
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Problems solved by technology

However, when EMD is used to process short-circuit fault signals, there are shortcomings such as modal aliasing and false modes, which affect the ability of EMD to express short-circuit fault time-frequency characteristics.
The EEMD method has a higher time-frequency resolution than EMD, and suppresses the mode aliasing defect, but there are still problems that the reconstructed signal and the final component contain residual noise, and the signal adds different noises to produce different numbers of modes

Method used

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  • Power transmission line short circuit fault diagnosis method based on empirical wavelet transformation and local energy
  • Power transmission line short circuit fault diagnosis method based on empirical wavelet transformation and local energy
  • Power transmission line short circuit fault diagnosis method based on empirical wavelet transformation and local energy

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specific Embodiment

[0084] refer to Figure 1-Figure 11 , a kind of transmission line short-circuit fault diagnosis method based on empirical wavelet transform and local energy of the present invention is carried out data simulation verification analysis as follows:

[0085] 1) Simulation of short-circuit fault experimental data

[0086] The signal difference under different fault parameters was not reflected, and a perfect training sample was obtained. A 500kV double-ended power supply transmission line simulation model was built using the electromagnetic transient software PSCAD. The transmission line adopts the Bergeron model, and the data set parameters are as follows:

[0087] (1) The initial angle of the voltage fault is set to a random integer value between 0° and 90°;

[0088] (2) The fault transition resistance is set to a random integer value between 0 and 200Ω;

[0089] (3) The fault distance is set as a random integer value between 10 and 190km.

[0090] 2) Carry out empirical wave...

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Abstract

The invention relates to a power transmission line short circuit fault diagnosis method based on empirical wavelet transformation and local energy. The method is characterized by comprising the following steps of: collecting short-circuit fault voltage signals; using an empirical wavelet transformation method to process the short-circuit fault voltage signals to obtain an empirical mode; performing short-circuit fault detection on the basis of empirical wavelet transformation; and performing short-circuit fault classification feature extraction on the basis of block local energy. The method has the advantages of scientificity, rationality, high time-frequency resolution, high noise resistance, high adaptability, good application effect and the like.

Description

technical field [0001] The invention is a transmission line fault diagnosis method based on empirical wavelet transform (Empirical Wavelet Transform, EWT) and local energy (Local Energy, LE), which is applied to automatic diagnosis of short-circuit faults in transmission lines. Background technique [0002] The short-circuit fault diagnosis of transmission lines is the basis for accurately judging the fault phase. The accurate removal of the fault phase reduces the further negative impact of the fault on the power system, which can improve the stability of the power system, enhance the transient stability of the system and improve the quality of power supply. Accurate and efficient short-circuit fault diagnosis is the basis for targeted treatment of transmission line faults. Due to the influence of uncertain factors such as transmission line fault location, fault time, and transition resistance, short-circuit fault signals contain multiple transient components, which are com...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01R31/02
CPCG01R31/50G06F2218/06G06F2218/08G06F2218/12G06F18/2411
Inventor 林琳陈玲玲张慧颖李鑫吴雪莉邢雪李佳
Owner JILIN INST OF CHEM TECH
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