Higher-order Motif-based Time Series Classification for Forced Oscillation Source Location in Power Grids
基于高阶模体的时间序列分类与电网强迫振荡源定位
Time series motifs are used for discovering higher-order structures of time series data. Based on time series motifs, the motif embedding correlation field (MECF) is proposed to characterize higher-order temporal structures of dynamical system time series. A MECF-based unsupervised learning approach is applied in locating the source of the forced oscillation (FO), a periodic disturbance that detrimentally impacts power grids. Locating the FO source is imperative for system…