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文章摘要
改进ITD-LS结合奇异值差分谱的间谐波快速检测方法
Improved ITD - LS combined with singular value difference between the spectrum of harmonic detection method quickly
Received:April 20, 2014  Revised:June 13, 2014
DOI:
中文关键词: 改进ITD法  谐波检测  奇异值差分谱  信噪比
英文关键词: improved ITD method  harmonic detection  singular value difference spectrum  signal to noise ratio
基金项目:
Author NameAffiliationE-mail
wang jian yuan Northeast Dianli University free1971@163.com 
qi liang* Northeast Dianli University 823901238@qq.com 
zhang ya peng Northeast Dianli University  
lan hua Northeast Dianli University  
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中文摘要:
      简谐波检测技术是电力系统谐波治理的重要工作内容,本文提出一种改进ITD法结合奇异值差分谱的快速高精度检测。通过改进ITD法可以直接根据含有系统特征信息的量测数据进行参数辨识。首先利用奇异值差分谱进行系统定阶,然后应用改进ITD算直接对含噪信号精确检测出各谐波的实际频率,采用最小二乘法(Least Squares, LS)对各间谐波分量的幅值进行精确检测。改进ITD法以SSI法的协方差矩阵(Toeplitz)为输入数据,克服了数据处理方法不准确性带来的误差,提高了参数辨识精度。与SSI法相比,改进ITD法精度没有降低,同时缩短了计算时间。仿真结果表明:该方法计算速度快,检测精度高,抗噪声能力强,验证了所提方法的可行性和有效性。
英文摘要:
      Jane harmonic detection technology is the important content of power system harmonic governance, this paper proposes an improved ITD method combined with singular value difference spectrum of fast high precision detection. By improving the ITD method can directly according to measured data with feature information contains system parameter identification. First using singular value difference spectrum system order, and then using ITD be improved directly on the noise signal accurately detect the actual frequency of each harmonic, using the Least square method (further Squares, LS) on the amplitude of harmonic component between accurate detection. Improve ITD method with SSI method of covariance matrix (Toeplitz) as the input data, and overcome the data processing method is not accurate, the error of the parameter identification precision is improved. Compared with the method of SSI, improved ITD method accuracy does not decrease at the same time shorten the calculation time. Simulation results show that the method calculating speed, high precision, strong ability to resist noise, verify the feasibility and effectiveness of the proposed method.
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