超高次谐波的合并等间隔采样方法

王莹鑫; 徐永海; 陶顺; 宋晓庆; 安哲; 王同勋

doi:10.7500/AEPS20200217010

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超高次谐波的合并等间隔采样方法

研制与开发 | 更新时间：2025-06-16

- 超高次谐波的合并等间隔采样方法
- Combined Equidistant Sampling Method of Supraharmonics
- 电力系统自动化-方正平台 2020年44卷第16期页码：161-170
- 作者机构：
  
  1. 新能源电力系统国家重点实验室（华北电力大学），北京市 102206
  2. 先进输电技术国家重点实验室（全球能源互联网研究院有限公司），北京市 102209
- 作者简介：
  
  王莹鑫(1995—)，女，博士研究生，主要研究方向：电能质量分析与控制。E-mail：13620754288@163.com
  徐永海(1966—)，男，博士，教授，博士生导师，主要研究方向：电能质量分析与控制。E-mail：yonghaixu@263.net
  陶顺(1972—)，女，通信作者，博士，副教授，硕士生导师，主要研究方向：电能质量分析与控制。E-mail：tao_shun@ncepu.edu.cn
- 基金信息：
  
  国家电网公司科技项目(SGGR0000DLJS1800405)
- DOI：10.7500/AEPS20200217010
  中图分类号：
- 收稿日期：2020-02-17，
  
  修回日期：2020-04-28，
  
  网络出版日期：2020-07-01，
  
  纸质出版日期：2020-08-25
- 稿件说明：
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王莹鑫,徐永海,陶顺等.超高次谐波的合并等间隔采样方法[J].电力系统自动化,2020,44(16):161-170.

WANG Yingxin,XU Yonghai,TAO Shun,et al.Combined Equidistant Sampling Method of Supraharmonics[J].Automation of Electric Power Systems,2020,44(16):161-170.
王莹鑫,徐永海,陶顺等.超高次谐波的合并等间隔采样方法[J].电力系统自动化,2020,44(16):161-170. DOI： 10.7500/AEPS20200217010.

WANG Yingxin,XU Yonghai,TAO Shun,et al.Combined Equidistant Sampling Method of Supraharmonics[J].Automation of Electric Power Systems,2020,44(16):161-170. DOI： 10.7500/AEPS20200217010.

摘要

随着电力系统的电力电子化程度不断加深，电力系统电压、电流信号中的超高次谐波成分持续增加。超高次谐波测量频域宽、幅值小且波动性大，传统谐波实时监测设备难以满足需求。文中对现有的典型超高次谐波检测采样方法（全采样、等间隔采样、首末两周期采样）进行了理论推导，比较其在幅值波动情况下的误差大小。在此基础上，提出了一种合并等间隔采样方法，结合波形特点对采样后的数据进行重组，在保证精度的同时有效降低了数据存储量。最后，通过案例对上述采样方法进行了验证。

Abstract

With the increasing power electronization in power system

the supraharmonic components of voltage and current signals in the power system keep increasing. The supraharmonics require wide frequency domain measurement

and their amplitudes are small but have large fluctuations. The conventional harmonic real-time monitoring equipment is difficult to meet the demand. This paper theoretically deduces the existing typical sampling methods for supraharmonic detection (i.e. full sampling

equidistant sampling

first and last cycle sampling). The errors of the above three sampling methods are compared in the case of amplitude fluctuation. On this basis

a combined equidistant sampling method is proposed

which combines the characteristics of waveforms to reconstruct the sampling data. The proposed sampling method can effectively reduce the data storage while ensures the accuracy. Finally

the above sampling methods are verified by cases.

关键词

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references

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