| 引用本文: | 白辉,许志红.基于小波包变换和高阶累积量的电弧故障识别方法[J].电力自动化设备,2020,40(11): |
| BAI Hui,XU Zhihong.Arc fault identification method based on wavelet packet transform and high-order cumulant[J].Electric Power Automation Equipment,2020,40(11): |
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| 摘要: |
| 当低压配电系统接入混合负载或在支路中出现电弧故障时，电弧故障识别难度大幅提升。针对此类电弧故障，提出一种基于小波包变换与高阶累积量相结合的电弧故障识别方法。首先采集不同负载、支路电弧故障下的电压、电流数据，建立电弧故障波形数据库；然后利用小波包变换对电弧电流信号进行分析，通过对多种试验数据进行分析，确定了通用电弧特征频带，对电弧电流波形进行重构作为电弧特征信号；通过分析故障电弧特征信号的4阶累积量值，提出了一种能够在时域中识别电弧故障的判据。该判据可以准确、快速地识别单一负载、混合负载以及支路电弧等情况下的电弧故障，且能够较为准确地检测电弧故障发生的时刻，为复杂电弧故障识别及起弧时刻的研究提供参考。 |
| 关键词: 小波包变换 高阶累积量 电弧故障 起弧时刻 支路电弧 故障识别 |
| DOI：10.16081/j.epae.202007033 |
| 分类号:TM572 |
| 基金项目:福建省2018科技创新领军人才资助项目 |
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| Arc fault identification method based on wavelet packet transform and high-order cumulant |
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BAI Hui1,2, XU Zhihong1,2
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1.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;2.Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou 350108, China
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| Abstract: |
| For low-voltage distribution systems, when a mixed load is applied or an arc fault occurs in the branch, the recognition difficulty of arc fault is greatly improved. Aiming at this problem, an arc fault recog-nition method based on wavelet packet transform and HOS(High-Order Statistics) is proposed. Firstly, the voltage and current data of different loads and branch arc faults are collected, and an arc fault waveform database is established. Then, the wavelet packet transform is used to analyze the arc current signal, the characteristic frequency band of fault arc is determined, and the arc current waveforms are reconstructed as the characteristic signal. By analyzing the fourth-order cumulant value of the fault arc characteristic signal, a criterion for identifying arc fault in time domain is proposed. The criterion can accurately and quickly identify the arc fault generated under the conditions of single load and mixed load, branch arc fault, etc.,and can accurately detect the moment when the arc fault occurs, which provides a reference for branch arc fault identification and arcing time research. |
| Key words: wavelet packet transform higher-order cumulant arc fault arcing time branch arc fault identification |
