Theoretical and Simulation Study on High Accuracy FFT Algorithm for tanδ Monitoring

HAO Xi-wei1; YANG Da-wei2; LIU Guang-yan3; ZHANG Guan-jun1

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Theoretical and Simulation Study on High Accuracy FFT Algorithm for tanδ Monitoring

更新时间：2025-04-26

- Theoretical and Simulation Study on High Accuracy FFT Algorithm for tanδ Monitoring
- High VoltageApparatus Vol. 45, Issue 2, Pages: 57-61(2009)
- 作者机构：
  
  1. 西安交通大学电力设备电气绝缘国家重点实验室
  2. 北京东方计量测试研究所
  3. 山东电力研究院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM76
- Published：2009
- 稿件说明：
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[1]郝西伟,杨大伟,刘广艳,张冠军.高精度FFT算法在介损监测中的理论与仿真研究[J].高压电器,2009,45(02):57-61.

HAO Xi-wei1, YANG Da-wei2, LIU Guang-yan3, et al. Theoretical and Simulation Study on High Accuracy FFT Algorithm for tanδ Monitoring[J]. High voltageapparatus, 2009, 45(2): 57-61.
[1]郝西伟,杨大伟,刘广艳,张冠军.高精度FFT算法在介损监测中的理论与仿真研究[J].高压电器,2009,45(02):57-61. DOI：

HAO Xi-wei1, YANG Da-wei2, LIU Guang-yan3, et al. Theoretical and Simulation Study on High Accuracy FFT Algorithm for tanδ Monitoring[J]. High voltageapparatus, 2009, 45(2): 57-61. DOI：

摘要

在电力设备介质损耗在线监测中

由于对连续工频周期信号的截断和非同步采样

会给基于传统FFT的谐波分析法带来显著的误差。笔者在前人的基础之上

对高精度FFT算法进行了详细的推导

并给出了加Blackman-Harris窗插值算法的实用公式。针对实际电网频率波动引起的非同步采样

通过MATLAB软件对普通FFT算法、加Blackman窗和加Blackman-Harris窗的插值算法进行仿真。仿真结果分析表明采用加Blackman-Harris窗插值的高精度FFT算法可以有效地降低测量误差和提高监测精度

满足现场电力设备介损监测的要求。

Abstract

In on-line monitoring tanδ of power equipment

the harmonic analysis based on conventional FFT brings significant errors because of the truncation of power frequency signal and unsynchronized sampling sequence.In this paper

the window and interpolation algorithm is derived

and a practical interpolation formula with Blackman-Harris window is proposed.For the unsynchronized sampling sequence caused by frequency fluctuation of power system

the simulation is performed via MATLAB code on the conventional FFT algorithm the interpolation algorithm with Blackman window

and the interpolation algorithm with Blackman-Harris window

respectively.The simulation results show that the interpolation algorithm with Blackman-Harris window can effectively reduce the measurement error and increase the precision

which satisfies the requirement for on-line monitoring tanδ of power equipment.

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Related Institution

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State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University

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