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文章摘要
基于时域波形特征的输电线雷击识别
Identification of Lightning Strikes on Transmission Lines Based on Characteristics of Time-domain Waveform
Received:April 30, 2014  Revised:April 30, 2014
DOI:
中文关键词: 输电线路  雷击  近似熵  积分
英文关键词: transmission  line, lightning, approximate  entropy, integration
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
Author NameAffiliationE-mail
YAN Hong-wei* State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University) yanhongwei51@163.com 
ZHU Yong-li State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University)  
ZHAO Xue-song Maintaining Department of Jibei Power Company  
HUANG Xiao-yin Maintaining Department of Jibei Power Company  
FAN Guo-chen State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University)  
GAO Yan-feng State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University)  
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中文摘要:
      雷击输电线路产生大量暂态分量影响行波测距装置精度,实现雷击干扰与故障的识别对提高行波测量装置准确性、减少检修工作量具有重要意义。为全局应用故障信息避免时频变换产生信号干扰,本文引用近似熵算法对雷击扰动与短路故障暂态电流附加线模分量进行时域分析发现,在不同故障相角与噪声干扰下,两者熵值差异仍接近一个数量级,但该方法不能识别非故障性雷击与雷击故障,故运用信号处理常用积分算法对雷击扰动行波做进一步处理发现,时间轴上下侧积分值的标准方差差异明显,综合两法实现非故障性雷击、雷击故障与短路故障电流暂态行波的区分。大量PSCAD仿真实验证明本方法不受故障位置、故障条件与噪声干扰的影响,具有很强的适用性。
英文摘要:
      Transient signals caused by lightning strikes on transmission lines may interfere with the distance measuring devices relying on traveling wave. Therefore, it is significant to identify lightning interference from faults to improve the accuracy of the measuring devices and reduce the maintenance workload. In order to make use of the global fault message and avoid the signal interference generated by time-frequency transformation, this paper refers to the approximate entropy algorithm to research the line-mode components of lightning and short-circuit fault transient current in the time domain and finds that both entropy neatly differ in an order of magnitude. But it cannot distinguish between lightning interference and lightning fault. Therefore, takes advantage of the integration algorithm which is widely used in signal processing to further analyze the lightning signal and realizes that standard deviation of the integration value upper and lower timeline is obviously distinct. We achieve the identification of lightning interference, lightning fault and short-circuit fault by integrating this two methods. Numerous PSCAD simulation results demonstrate that the proposed method is valid and applicable regardless of the fault location, fault condition and interference noise.
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