Title :
The study on monitor of power system low frequency oscillation base on HHT method
Author :
Yang Pei-hong ; Yue Li-hai
Author_Institution :
Sch. of Inf. Eng., Inner Mongolia Univ. of Sci. & Technol., Baotou, China
Abstract :
Aimed to solve the problem-power system low frequency oscillation in area main lines, this paper presents a decomposition of power system low frequency oscillation which can monitor vibration modal parameters quickly and accurately; The core of low frequency oscillation monitor is an improved Hilbert-Huang Transform(HHT) algorithm through the online record data superposition integral cycle cosine both ends of the signal, signal preprocessing is the extreme point. The method has solved the EMD decomposition process of “end effect” problem; Through the MATLAB simulation verifies the effectiveness of the proposed method.
Keywords :
Hilbert transforms; power system measurement; EMD; Hilbert-Huang transform; MATLAB; data superposition; power system low frequency oscillation; power system monitor; signal preprocessing; Abstracts; Biomedical monitoring; Monitoring; Power systems; Transforms; Empirical Mode Decomposition; Hilbert-Huang Transform; Monitor; Power System Low Frequency Oscillation;
Conference_Titel :
Electricity Distribution (CICED), 2014 China International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICED.2014.6991716
