Study on Harmonic Current Prediction Method Based on Sequence Data Analysis

YU Bin; HU Luona; WANG Jizhe

doi:10.14044/j.1674-1757.pcrpc.2016.01.014

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Study on Harmonic Current Prediction Method Based on Sequence Data Analysis

更新时间：2024-09-14

- Study on Harmonic Current Prediction Method Based on Sequence Data Analysis
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 37, Issue 1, Pages: 66-70(2016)
- 作者机构：
  
  1. 国网浙江杭州市萧山区供电公司
  2. 国网重庆市电力公司信息通信分公司
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2016.01.014
  CLC： TM933.1
- Published：2016，
- 稿件说明：
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[1]余彬,胡洛娜,王吉哲.基于序列数据分析的谐波电流预测方法的研究[J].电力电容器与无功补偿,2016,37(01):66-70.

YU BIN, HU LUONA, WANG JIZHE. Study on Harmonic Current Prediction Method Based on Sequence Data Analysis. [J]. Power capacitor & reactive power compensation, 2016, 37(1): 66-70.
[1]余彬,胡洛娜,王吉哲.基于序列数据分析的谐波电流预测方法的研究[J].电力电容器与无功补偿,2016,37(01):66-70. DOI： 10.14044/j.1674-1757.pcrpc.2016.01.014.

YU BIN, HU LUONA, WANG JIZHE. Study on Harmonic Current Prediction Method Based on Sequence Data Analysis. [J]. Power capacitor & reactive power compensation, 2016, 37(1): 66-70. DOI： 10.14044/j.1674-1757.pcrpc.2016.01.014.

摘要

随着电力电子装置的广泛应用

由于电力电子器件非线性的特点导致谐波的污染和无功功率的危害也日益严重。以电弧炉供电系统的电路谐波电流为研究对象

提出了采用序列关联规则的先验算法（Apriori）

通过对谐波电流序列数据进行分析

挖掘出谐波电流之间的关联规则。通过对电弧炉供电系统采集到的电流数据的分析和验证

结果显示该方法能够正确预测出未来时刻的基波电流幅值

从而达到预测未来时刻的谐波

有助于抑制谐波污染和无功功率的危害的目的。

Abstract

With the wide spread application of power electronic device

the harmonic pollution and reactive power harm are increasing serious due to nonlinearity of power electronic elements. In this paper

the circuit harmonic current in the power system of electric arc furnace is taken as study object

the Apriori algorithm based on the sequence association rules

the association rule of between harmonic currents is exploited through analysis of sequence data of harmonic current. It is shown by the analysis and verification of the current data collected from the power supply system of electric arc furnace that the method can be able to predict fundamental wave current amplitude in the future time

thus reaching the purpose of predicting the harmonics in the future

suppressing harmonic pollution and harm of reactive power.

关键词

谐波电流序列关联规则先验算法谐波预测

Keywords

harmonic currentsequence association ruleapriori algorithmharmonic prediction

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