结合EMD-WVD和布谷鸟搜索算法的输电线路故障暂态保护

穆利智; 李泽文; 吕佳佳; 胡开庚; 刘基典; 贺子凝

doi:10.7500/AEPS20191118002

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结合EMD-WVD和布谷鸟搜索算法的输电线路故障暂态保护

研制与开发 | 更新时间：2025-06-16

- 结合EMD-WVD和布谷鸟搜索算法的输电线路故障暂态保护
- Transient Protection for Transmission Line Fault Combining Empirical Mode Decomposition-Wigner Ville Distribution and Cuckoo Search Algorithm
- 电力系统自动化-方正平台 2020年44卷第16期页码：137-144
- 作者机构：
  
  1. 长沙理工大学电气与信息工程学院，湖南省长沙市 410114
  2. 佛山供电局，广东省佛山市 528000
  3. 国网济宁供电公司，山东省济宁市 272100
  4. 国网湘潭供电公司，湖南省湘潭市 411104
- 作者简介：
  
  穆利智（1997—），男，硕士研究生，主要研究方向：电力系统保护与控制。E-mail：1040045200@qq.com
  李泽文（1975—），男，通信作者，博士，教授，博士生导师，主要研究方向：电力系统保护与控制。E-mail：lzw0917@163.com
  吕佳佳（1993—），男，硕士研究生，主要研究方向：电力系统保护与控制。E-mail：799906097@qq.com
- 基金信息：
  
  国家自然科学基金资助项目(51877012);湖南省教育厅双一流重点项目(18A121);湖南省研究生科研创新项目(CX2018B557)
- DOI：10.7500/AEPS20191118002
  中图分类号：
- 收稿日期：2019-11-18，
  
  修回日期：2020-04-28，
  
  网络出版日期：2020-06-17，
  
  纸质出版日期：2020-08-25
- 稿件说明：
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穆利智,李泽文,吕佳佳等.结合EMD-WVD和布谷鸟搜索算法的输电线路故障暂态保护[J].电力系统自动化,2020,44(16):137-144.

MU Lizhi,LI Zewen,LYU Jiajia,et al.Transient Protection for Transmission Line Fault Combining Empirical Mode Decomposition-Wigner Ville Distribution and Cuckoo Search Algorithm[J].Automation of Electric Power Systems,2020,44(16):137-144.
穆利智,李泽文,吕佳佳等.结合EMD-WVD和布谷鸟搜索算法的输电线路故障暂态保护[J].电力系统自动化,2020,44(16):137-144. DOI： 10.7500/AEPS20191118002.

MU Lizhi,LI Zewen,LYU Jiajia,et al.Transient Protection for Transmission Line Fault Combining Empirical Mode Decomposition-Wigner Ville Distribution and Cuckoo Search Algorithm[J].Automation of Electric Power Systems,2020,44(16):137-144. DOI： 10.7500/AEPS20191118002.

摘要

为促进基于波形唯一性暂态保护原理的实用化，提出了一种结合经验模态分解-维格纳威尔分布（EMD-WVD）和布谷鸟搜索算法的输电线路暂态保护方法。该方法利用EMD处理故障暂态信号，得到不同频段的单分量信号；采用波形相关性系数对各单分量信号分别与原暂态信号进行相似度计算，筛选真实暂态信号分量。然后，对真分量分别求WVD，并将所有真分量的WVD进行线性叠加获得的能量谱密度图与故障样本库中的能量谱密度图不断迭代匹配计算相似度，依据相似度判别区内外故障，实现输电线路故障快速可靠保护。仿真结果表明，EMD-WVD方法能有效提高故障暂态波形分析的准确度，布谷鸟搜索算法能有效提高波形匹配速度，两者结合有望促进暂态保护的实用化。

Abstract

In order to promote the practicality of the transient protection principle based on waveform uniqueness

this paper proposes a transient protection method for transmission lines combining empirical mode decomposition-Wigner Ville distribution (EMD-WVD) and cuckoo search (CS) algorithm. This method uses EMD to process fault transient signals to obtain single-component signals in different frequency bands. Waveform correlation coefficients are used to calculate the similarity between each single-component signal and the original transient signal to screen the true transient signal components. Then

WVDs of the true components are obtained respectively. The WVDs of all the true components are linearly superimposed to obtain the energy spectral density map

which is then iteratively matched with the energy spectral density map in the fault sample database to calculate the similarity. Internal and external faults are identified based on similarity to achieve the fast and reliable protection from transmission line faults. Simulation results show that the EMD-WVD method can effectively improve the accuracy of fault transient waveform analysis

and the CS algorithm can effectively improve the waveform matching speed. The combination of the two is expected to promote the practical application of transient protection.

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references

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