提出了一种基于TT变换的电能质量扰动检测新算法。TT变换是S变换的傅里叶反变换,是一维时间序列的二维时时表示,通过检测TT模矩阵的对角线元素的幅值突变,定位电能质量扰动发生的起止时刻,不仅能对电能质量单一扰动进行准确检测,而且也能对混合扰动进行准确检测。对含有谐波扰动的混合扰动信号,提出通过两次TT变换,基于对S变换结果的分析和TT模矩阵的对角线序列突变量的检测,精确定位各扰动分量出现的起止时刻。仿真结果验证了本方法在电能质量扰动信号的检测中的可行性和有效性。
This paper proposed a new TT-transform based algorithm for detecting power quality disturbance. TT- transform is inverse Fourier transform of S-transform, and provides a representation of a one-dimensional time series into a two-dimensional time-time series. By detecting amplitude mutations of the diagonal elements corresponding to the TT-transform modulus matrix, positioning the beginning and ending times of power quality disturbance occurred, not only for accurate detection of a single power quality disturbances, but. also the accurate detection of mixed disturbance. For hybrid disturbances signal containing harmonic disturbance, this paper presents two-TT-transform, based on the analysis of the S-transform results and the detection of diagonal sequence mutation of the TT-matrix, precise positioning of the beginning and ending time of each disturbance component. Simulation results show that the proposed method is feasible and effective.