Study on Harmonic Suppression and Reactive Power Compensation of Battery Based on Flexible Analytic Wavelet

LIU Yun; PENG Yuan; KOU Jianqiu

doi:10.14044/j.1674-1757.pcrpc.2019.05.015

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Study on Harmonic Suppression and Reactive Power Compensation of Battery Based on Flexible Analytic Wavelet

更新时间：2024-09-14

- Study on Harmonic Suppression and Reactive Power Compensation of Battery Based on Flexible Analytic Wavelet
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 40, Issue 5, Pages: 85-89(2019)
- 作者机构：
  
  江苏省中医院信息工程部
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2019.05.015
  CLC： TM935;TM714.3
- Published：2019，
- 稿件说明：
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[1]刘云,彭远,寇建秋.基于灵活解析小波的蓄电池谐波抑制和无功补偿研究[J].电力电容器与无功补偿,2019,40(05):85-89.

LIU YUN, PENG YUAN, KOU JIANQIU. Study on Harmonic Suppression and Reactive Power Compensation of Battery Based on Flexible Analytic Wavelet. [J]. Power capacitor & reactive power compensation, 2019, 40(5): 85-89.
[1]刘云,彭远,寇建秋.基于灵活解析小波的蓄电池谐波抑制和无功补偿研究[J].电力电容器与无功补偿,2019,40(05):85-89. DOI： 10.14044/j.1674-1757.pcrpc.2019.05.015.

LIU YUN, PENG YUAN, KOU JIANQIU. Study on Harmonic Suppression and Reactive Power Compensation of Battery Based on Flexible Analytic Wavelet. [J]. Power capacitor & reactive power compensation, 2019, 40(5): 85-89. DOI： 10.14044/j.1674-1757.pcrpc.2019.05.015.

摘要

针对医疗机构蓄电池谐波干扰检测和无功补偿问题

文中采用了一种基于灵活解析小波分析的检测方法。首先

通过灵活解析小波分解采集得到的蓄电池整流电压和电流数据为不同尺度的分量信号;然后

结合模糊熵对尺度信号进行特征提取和特征筛选;最后

利用最小二乘支持向量机进行分类识别

准确检测出蓄电池电能信号中的谐波成分。实验测试结果表明

谐波检测的平均正确率为96%

为进一步无功补偿提供保证。

Abstract

In view of the issue of harmonic interference detection and reactive power compensation of battery for medical organization

a detection method based on flexible analytic wavelet analysis is adopted in this paper. Firstly

the rectified voltage and current data of the battery is obtained as different scales of component signal by way of flexible analytic wavelet decomposition

then

feature extraction and selection are carried out for the scale signal with combination of fuzzy entropy. Finally

least squares support vector machine is used for classification and identification so to detect accurately harmonic contents of the batter energy signal. It is shown by the experimental test result that the average accurate rate of harmonic detection isis 96%

which provides guarantee for reactive power compensation further.

关键词

医院信息中心蓄电池谐波检测灵活解析小波模糊熵最小二乘支持向量机

Keywords

hospital information centerbatteryharmonic detectionflexible analytical waveletfuzzy entropyleast square support vector machine

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