A Novel Power Quality Disturbance Recognition Method Based on Improved HHT Algorithm

摘要

Most of the power quality disturbances are complex power quality disturbances in practical engineering applications. Algorithm based on SAX (symbolic aggregate approximation) signal into a series of symbols, and then according to the differences between different symbols, find the singular value point, and then confirm the time of beginning and ending disturbances and end time, then according to these time to signal segment, and then uses the HHT (Hilbert-Huang Transform) extraction of characteristic value, the use of decision tree for power quality disturbance identification. However, in the face of high frequency small value or similar frequency disturbance, the traditional HHT cannot be decomposed. The iterative HHT is adopted to improve the accuracy and avoid the phenomenon of modal aliasing.