检测低频振荡模式的EMD复合算法研究

发布时间：2018-05-01 15:42

本文选题：自适应滑窗 + EMD分解　；参考：《电子科技大学学报》2014年06期

【摘要】：提出一种抗模态混叠的EMD复合算法。首先,通过改进频率外差方法,增加混叠模态分量间的频谱距离,有效分离出倍频模态混叠成分;其次,结合小波奇异点检测技术,确定各模态分量的自适应滑动分析窗口,实现间歇性混叠模态分离和振荡模式非平稳参数辨识。为验证算法的有效性,利用测试算例和电网仿真算例进行了测试分析,结果表明,该算法能够有效分离出混叠模式分量,对于模式复杂的低频振荡信号,能够有效分离出对应的低频振荡模式,具有较高的振荡模式信息检测精度。
[Abstract]:A EMD composite algorithm for anti mode aliasing is proposed. First, by improving the frequency heterodyne method, the frequency spectrum distance between the mixed modal components is increased and the frequency doubling modal mixture is separated effectively. Secondly, the adaptive sliding analysis window of each modal component is determined by the wavelet singular point detection technique, and the intermittent aliasing mode separation and vibration are realized. In order to verify the validity of the algorithm, a test case and a power grid simulation example are tested and analyzed. The results show that the algorithm can effectively separate the mixed mode components, and can effectively separate the corresponding low frequency oscillation mode for the complex low-frequency oscillating signal and have a high oscillation mode. The accuracy of information detection.

【作者单位】：电子科技大学电力系统广域测量与控制四川省重点实验室;四川电力科学研究院;
【基金】：国家自然科学基金(51277022)
【分类号】：TM712

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