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作 者:郭启明 朱武 花赟昊 金立鑫 靳一奇 焦哲晶 Guo Qiming;Zhu Wu;Hua Yunhao;Jin Lixin;Jin Yiqi;Jiao Zhejing(College of Electronics and Information Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
机构地区:[1]上海电力大学电子与信息工程学院,上海200090
出 处:《计算机应用与软件》2023年第6期229-233,共5页Computer Applications and Software
基 金:国家自然科学基金青年科学基金项目(61704103);国网上海电力公司科技项目(H2020-073)。
摘 要:针对目前电力系统中谐波与相近间谐波检测精度不高、受噪声影响较大的情况,提出一种基于实值Root-MUSIC和MP的间谐波检测算法。通过对信号建立自相关矩阵并进行特征分解得到特征空间,基于特征空间构造实值Root-MUSIC多项式估计出信号频率,通过MP算法对信号进行分解,估计出信号的幅值与相位。仿真结果表明,该检测算法有着较好的抗噪性,相比传统MUSIC算法在减少了大量运算度的情况下在谐波与相近间谐波的检测中有着更好的精确度。Aimed at the situation that the detection accuracy of harmonic and nearby interharmonic components in the power system is not high and more likely affected by noise,an interharmonic detection algorithm based on real-valued Root-MUSIC and MP is proposed.By establishing the autocorrelation matrix for signal decomposition to obtain feature space,we estimated the frequency of the signal by establishing the real-valued Root-MUSIC polynomial based on the feature space.The MP algorithm was used to decompose signals to estimate the amplitude and phase of the signal.The simulation results show that the detection algorithm has better noise immunity.Compared with the traditional MUSIC algorithm,it has a better accuracy in the detection of harmonics and nearby interharmonics while reducing a large amount of calculation.
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