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机构地区:[1]兰州理工大学电气工程与信息工程学院,甘肃兰州730050
出 处:《自动化与仪器仪表》2014年第5期130-133,共4页Automation & Instrumentation
基 金:甘肃省自然科学基金(1208RJZA151);甘肃省教育厅硕导基金项目(1203ZTC025)
摘 要:传统HHT方法在分析谐波时存在模态混叠现象,不能有效得出各次谐波分量,所以本文采用基于小波分解的HHT方法来解决上述问题。该方法根据小波分解进行频带滤波,然后再利用empirical mode decomposition(EMD)分解得到准确的intrinsic mode function(IMF),最后进行Hilbert变换得到各次谐波分量频率和瞬时幅值,解决了传统HHT方法存在的模态混叠问题。首次将改进的Hilbert-Huang Transform(HHT)方法用于石油钻机系统中,并在Matlab/Simulink平台上搭建了石油钻机电网谐波源模型,仿真谐波电流信号,并将改进型HHT方法与传统的HHT方法进行对比,比较结果验证了改进型HHT方法的先进性和有效性。Improved Hilbert-Huang Transform(HHT) is introduced for detection and analysis of power quality in oil rig power system for the first time in this paper.Mode mixing is happened when using Traditional HHT methods directly for harmonic analysis,and all harmonic components cannot be effectively separated.The HHT method based on wavelet decomposition is used to solve the problem in this paper.Firstly,signal is fil-tered according to wavelet decomposition.Then,the output of signal after band filter is decomposed by EMD, and accurate IMF components are obtained.Lastly,Hilbert transform is used for the IMF components,and ampli-tude and frequency of corresponding time can be detected accurately and quantitatively.Simulation results show that Improved HHT has better performance in analyzing Harmonics to Traditional HHT in oil rig power system.
关 键 词:HILBERT-HUANG变换 小波分解 钻机电网 谐波检测
分 类 号:TM714[电气工程—电力系统及自动化]
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