采用快速原子分解的电能质量扰动信号参数辨识

发布时间：2019-06-14 08:01

【摘要】：采用原子分解能够准确提取电能质量扰动信号的幅值、频率、相位以及扰动起止时刻等特征量。但在原子分解过程中需要作大量的计算,计算速度缓慢。针对这一问题,根据信号的特点采用快速原子分解方法将Gabor原子库分为5层,简化每一层的索引参数。首先利用快速傅里叶变换测出信号的主要频率点和通过小波变换粗提取扰动起止采样点序列,然后将信号依次通过Gabor原子库每一层,从每一层中搜索到对应的最佳匹配原子,并采用伪牛顿法对最佳匹配原子进行优化,最后转化为衰减正弦量原子,以残余正弦信号的能量作为判断终止条件。算例仿真结果表明,该方法能够准确对电能质量参数进行辨识,并且运算速度有较大提高,验证了所提方法的有效性和实时性。
[Abstract]:Atomic decomposition can accurately extract the amplitude, frequency, phase and disturbance starting and ending time of power quality disturbance signal. However, a large number of calculations need to be made in the process of atomic decomposition, and the calculation speed is slow. In order to solve this problem, the fast atomic decomposition method is used to divide the Gabor atomic library into five layers according to the characteristics of the signal, and the index parameters of each layer are simplified. Firstly, the main frequency points of the signal are measured by fast Fourier transform and the sequence of sampling points at the beginning and end of disturbance is extracted by wavelet transform. Then the signal is searched from each layer of Gabor atomic library in turn, and the optimal matching atoms are optimized by pseudo-Newton method. Finally, the optimal matching atoms are transformed into attenuated sinusoidal atoms, and the energy of residual sinusoidal signal is used as the termination condition. The simulation results show that the proposed method can accurately identify the power quality parameters, and the operation speed is greatly improved, which verifies the effectiveness and real-time performance of the proposed method.
【作者单位】：湖南大学电气与信息工程学院;广东电网公司电力科学研究院;
【基金】：国家863高技术基金项目(2011AA05A114)~~
【分类号】：TM711

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