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文章摘要
基于数学形态学和改进Prony算法的谐波与间谐波参数估计
Harmonic and inter-harmonic parameter estimation based on mathematical morphology and improved Prony algorithm
Received:January 29, 2018  Revised:January 29, 2018
DOI:
中文关键词: 电力系统  谐波与间谐波检测  数学形态学  改进prony算法  谐波参数估计
英文关键词: Electric  power system, Detection  of harmonics  and inter-harmonics, Mathematical  morphology, Improved  Prony algorithm, Harmonic  parameter estimation
基金项目:
Author NameAffiliationE-mail
Gong Maofa College of Electrical and Automation Engineering,Shandong University of Science and Technology,Qingdao 1447089173@qq.com 
Cai Fen* College of Electrical and Automation Engineering,Shandong University of Science and Technology,Qingdao 1447089173@qq.com 
Liu Xiujie Dongying Fangda electric power design and planning company 1447089173@qq.com 
Zhu Yingjie Dongying Fangda electric power design and planning company 1447089173@qq.com 
Li Renhui State Grid Shandong Dongying Electric Power Compan 1447089173@qq.com 
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中文摘要:
      由于传统Prony算法对谐波与间谐波的检测易受噪声影响,为了提高参数估计精度准确提取谐波和间谐波频率、幅值和相位,本文提出了一种基于数学形态学和改进Prony算法的谐波与间谐波参数估计方法。该方法主要思路是先用数学形态学构建形态滤波器去除噪声,可以克服传统Prony算法对噪声敏感的不足;然后再将去噪拟合后的谐波信号进行改进Prony分析。该方法针对原始Prony方法优化了实际阶数和线性参数的求解过程,对比小波消噪求解谐波各参数的方法优化了去噪效果。通过MATLAB对谐波信号进行编程分析,发现该方法在噪声情况下仍能得到高精度的谐波与间谐波幅值、频率和相位参数估计,验证了该方法的可行性和有效性。
英文摘要:
      The detection of harmonic and the traditional Prony algorithm is sensitive to noise .In order to calculate the characteristic parameters of harmonics and inter-harmonics accurately, a harmonic parameter estimation method based on mathematical morphology and improved Prony algorithm is proposed. The main idea of this method is to construct morphological filter with mathematical morphology to denoise. The shortcomings of the traditional Prony algorithm for noise sensitivity can be overcome. Then the harmonic signal after noise removal is underway by improved Prony. Through MATLAB programming analysis of harmonic signal, it is found that this method can get high-accuracy amplitude, frequency and phase parameters under noises. The feasibility and effectiveness of the method are verified .
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