Title :
The power quality disturbance detection and classification method based on EMD
Author :
Qinghao, Wang ; Tianshi, Wang ; Jidong, Sheng ; Xinwei, Zhang ; Guodong, Shi
Author_Institution :
Fushun Power Supply Co., Fushun, China
Abstract :
Power quality disturbances detection and classification methods based EMD are proposed in this paper. The time of disturbance occurrence and duration, and the frequency and amplitude of disturbance can be detected accurately by this method. Such as voltage sags, voltage swells, voltage interruptions and other disturbances raised the signal amplitude and frequency changes can be estimated. The results of MATLAB simulation show the proposed method is simple and effective.
Keywords :
power supply quality; EMD; Matlab simulation; power quality disturbance classification method; power quality disturbance detection method; signal amplitude; voltage interruptions; voltage sags; voltage swells; Educational institutions; Power quality; Time frequency analysis; Transforms; Transient analysis; Voltage fluctuations; EMD; Hilbert transform power; IMF; classification; detection; quality disturbance;
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-1221-9
DOI :
10.1109/ISGT-Asia.2012.6303144
