基于自适应滑动窗的电力信号扰动分析

Power Signal Disturbance Analysis Based on Adaptive Sliding Window

针对子空间旋转不变性算法对非平稳电力信号扰动性能较差,文章提出了一种基于自适应滑窗时频分析方法。该方法首先根据非平稳电能质量扰动信号特征,采用自适应滑窗与ESPRIT算法对数据进行处理,检测出扰动信号频率和幅值信息。实验结果表明,文章提出的方法适合动态电力信号的检测,具有实际应用前景。

For the subspace rotation invariance algorithm,the perturbation performance of non-stationary power signals is poor.In this paper,a time-frequency analysis method based on adaptive sliding window is proposed.Firstly,according to the characteristics of non-stationary power quality disturbance signal,the adaptive sliding window and ESPRIT algorithm are used to process the data,and the frequency and amplitude information of the disturbance signal are detected.The experimental results show that the proposed method is suitable for dynamic power signal detection.The algorithm has practical application prospects.