Recognition of Traveling Surges in HVDC with Wavelet Entropy

Recognition of Traveling Surges in HVDC with Wavelet Entropy
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用小波熵识别高压直流输电中的行波浪涌

DOI:
10.3390/e19050184
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发表时间:
2017-04
期刊:
影响因子:
2.7
通讯作者:
和敬涵
和敬涵
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
罗国敏;林琦智;周琳;和敬涵

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行浪涌是高压直流输电系统中常用的保护装置。雷击还会产生大幅度的行波,导致继电器的故障。为了保证保护装置的可靠运行,必须考虑对行浪涌的识别。小波熵能揭示时频分布特征,是一种很有潜力的行浪涌识别工具。本文通过比较小波熵对不同类型浪涌的表征,并讨论了小波熵在传播距离和故障电阻影响下的稳定性,证明了小波熵表征行波涌的有效性。提出了一种基于小波熵的识别方法,并通过模拟行浪涌进行了验证。结果表明,小波熵能很好地识别故障行波,并具有良好的识别率。
Traveling surges are commonly adopted in protection devices of high-voltage direct current (HVDC) transmission systems. Lightning strikes also can produce large-amplitude traveling surges which lead to the malfunction of relays. To ensure the reliable operation of protection devices, recognition of traveling surges must be considered. Wavelet entropy, which can reveal time-frequency distribution features, is a potential tool for traveling surge recognition. In this paper, the effectiveness of wavelet entropy in characterizing traveling surges is demonstrated by comparing its representations of different kinds of surges and discussing its stability with the effects of propagation distance and fault resistance. A wavelet entropy-based recognition method is proposed and tested by simulated traveling surges. The results show wavelet entropy can discriminate fault traveling surges with a good recognition rate.
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发表时间: 2018-08
期刊: 2018 IEEE Power & Energy Society General Meeting (PESGM)
影响因子: --
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