35kV power line fault traveling wave extraction method based on affinity propagation clustering

A fault traveling wave and neighbor propagation technology, which is applied in the direction of detecting faults, fault locations, and measuring electricity according to conductor types. The effect of reducing impact, high accuracy and reliability of identification, and strong anti-interference ability
CN112505481APending Publication Date: 2021-03-16YUNNAN POWER GRID CO LTD PUER POWER SUPPLY BUREAU
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
YUNNAN POWER GRID CO LTD PUER POWER SUPPLY BUREAU
Publication Date
2021-03-16

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Abstract

The invention relates to a 35kV power line fault traveling wave extraction method based on affinity propagation clustering, and belongs to the technical field of 35kV power line fault distance measurement. The method comprises the steps of data preprocessing, fault traveling wave signal characteristic parameter extraction, affinity propagation clustering calculation and the like. According to themethod, the influence of interference signals generated by power noise on a 35kV power line fault accurate positioning system is reduced, switching value signals do not need to be extracted, clustering calculation is conducted on traveling wave signals through affinity propagation clustering, and misjudgment generated by interference of the interference traveling wave signals is eliminated according to the clustering characteristics of the interference traveling wave signals. Meanwhile, the method enables the 35kV power line fault accurate positioning system to identify lightning stroke multi-source discharge points, and is easy to popularize and apply.
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Description

technical field

[0001] The invention belongs to the technical field of 35kV power line fault distance measurement, and in particular relates to a method for extracting traveling waves of 35kV power line faults based on neighbor propagation clustering. Background technique

[0002] There are mainly two kinds of existing effective traveling wave extraction technologies, namely: (1) use the time-domain waveform analysis method to extract effective traveling wave signals to identify lightning faults; (2) use the switching value method to filter and extract effective traveling waves The noise interferes with the signal acquisition of the positioning system.

[0003] For (1), the principle of time-domain waveform analysis method to extract traveling wave signals to identify lightning strike faults is to describe the time-domain waveform characteristics of various types of lightning strike faults: surrounding lightning, direct lightning, and induction lightning, so that Lightning ...

Claims

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