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作 者:陈曦 董扬波 曲利齐 任玲玲 CHEN Xi;DONG Yangbo;QU Liqi;REN Linging(Beijing Guodiantong Network Technology Co.,Ltd.,Beijing 100032,China;School of Electrical and Electronic Engineering,Noth China Electric Power University,Beijing 102206,China)
机构地区:[1]北京国电通网络技术有限公司,北京100032 [2]华北电力大学电气与电子工程学院,北京102206
出 处:《电子设计工程》2024年第9期27-30,36,共5页Electronic Design Engineering
基 金:北京高等学校青年英才计划(YETP0823)。
摘 要:为了提高电气设备宽频阻抗参数估算准确性,有效抑制谐波,研究基于HHT的电气设备宽频阻抗参数估算方法。获取电气设备电阻信号,利用经验模态分解方法将电阻信号分解为IMF分量;对IMF分量进行希尔伯特变换,提取希尔伯特谱,得出IMF分量的频率值;利用改进神经网络算法搭建映射关系模型,获得宽频阻抗参数估算结果。测试结果表明,利用该方法估算出的宽频阻抗参数进行谐波抑制后的总谐波失真数值较小,提高了估算准确性,解决了谐波抑制效果不佳的问题。In order to improve the accuracy of broadband impedance parameter estimation of electrical equipment and effectively suppress harmonics,the broadband impedance parameter estimation method of electrical equipment based on HHT is studied.Obtain the electrical equipment resistance signal,and decompose the resistance signal into IMF components using empirical mode decomposition method;Hilbert transform is performed on the IMF component to extract the Hilbert spectrum,and the frequency value of the IMF component is obtained;The improved neural network algorithm is used to build the mapping relationship model,and the broadband impedance parameter estimation results are obtained.The test results show that the total harmonic distortion value after harmonic suppression using the broadband impedance parameters estimated by this method is small,improving the estimation accuracy and solving the problem of poor harmonic suppression effect.
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