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EEMD在电力谐波检测中的应用

孙曙光 王秋萌 闫欢 林雪松 杜太行

电力系统及其自动化学报2016,Vol.28Issue(8):25-31,7.
电力系统及其自动化学报2016,Vol.28Issue(8):25-31,7.DOI:10.3969/j.issn.1003-8930.2016.08.005

EEMD在电力谐波检测中的应用

Application of EEMD to Power Harmonic Detection

孙曙光 1王秋萌 1闫欢 2林雪松 1杜太行1

作者信息

  • 1. 河北工业大学控制科学与工程学院,天津 300130
  • 2. 国网冀北抚宁县供电公司,秦皇岛 066300
  • 折叠

摘要

Abstract

In order to overcome the mode mixing deficiency in the harmonic detection method based on empirical mode decomposition(EMD),a new harmonic detection method is proposed based on Hilbert-Huang transform(HHT)by us-ing ensemble empirical mode decomposition(EEMD). First,the load current containing harmonic is decomposed by EEMD,then the intrinsic mode function is obtained,and HHT is performed to find amplitude,phase,instantaneous frequency and other information of the fundamental wave and every harmonic. The EEMD method has strong adaptive ability,high accuracy and good real-time performance when the load mutates. The simulation results show that the EEMD method can avoid mode mixing in the decomposition process,which overcomes the disadvantage of EMD. At the same time,test result by harmonic detection platform based on data acquisition card further proves the feasibility of the proposed method .

关键词

谐波/希尔伯特-黄变换/模态混叠/经验模态分解/总体平均经验模态分解/采集卡

Key words

harmonic/Hibert-Huang transform(HHT)/mode mixing/empirical mode decomposition(EMD)/ensem-ble empirical mode decomposition(EEMD)/data acquisition card

分类

信息技术与安全科学

引用本文复制引用

孙曙光,王秋萌,闫欢,林雪松,杜太行..EEMD在电力谐波检测中的应用[J].电力系统及其自动化学报,2016,28(8):25-31,7.

基金项目

天津市科技支撑重点资助项目(12ZCZDGX014000) (12ZCZDGX014000)

河北省高等学校科学技术研究重点资助项目(ZD2014051) (ZD2014051)

河北工业大学博士科研启动费资助项目 ()

电力系统及其自动化学报

OA北大核心CSCDCSTPCD

1003-8930

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