RESEARCH INTO VOLTAGE SAG ONLINE DETECTION TECHNOLOGY BASED ON WAVELET TREE
Xianfeng Zheng1, 2, Zheng Fan2
1Faculty of Electrical Engineering Henan Mechanical and Electrical Engineering College, No.699 Ping Yuan Road, Xinxiang, Henan, China
2Faculty of Automatic Control Engineering Henan Mechanical and Electrical Engineering College, No. 699 Ping Yuan Road, Xinxiang, Henan, China
A general process model is established using the real-time requirements of data stream processing, and the data is constantly processed with a sliding window. This paper selects the recursion-based complex wavelet as the detecting algorithm for voltage sag, and tries to detect when the voltage sag occurs and ends with amplitude and phrase information contained in the wavelet analysis results. Meanwhile, this paper seeks to improve the precision of detection by looking for optimal wavelet scales with information entropy. The shifted wavelet tree-based data flow anomaly detection algorithm and data update method of shifted wavelet tree have been improved to make rapid detection possible. Finally, this paper reports the experimental simulation, which proved the instantaneity and accuracy of this method.