Title :
Power Quality Disturbances Detection Based on Hilbert Phase-Shifting
Author :
Chen Chun-ling ; Yang Yong ; Xu Tongyu ; Cao Yingli ; Wang Xiaofeng
Author_Institution :
Sch. of Inf. & Electr. Eng., Shenyang Agric. Univ., Shenyang
Abstract :
This paper analyses the principle of work of using phase-shifting method to detect power quality (PQ) disturbances based on Hilbert transform (HT). This method is proposed by using phase-shifting for real-time detection on various PQ disturbances, such as voltage swells, voltage sags, voltage fluctuation, harmonics and transient oscillation. Based on the detection platform of LabVIEW environment, the simulation results show that the method can satisfy various PQ disturbances signal detection, and also has a good real-time system characteristics and accuracy.
Keywords :
Hilbert transforms; fault location; power supply quality; signal detection; Hilbert transform; LabVIEW detection platform; phase-shifting method; power quality disturbance signal detection; Convolution; Fourier transforms; Phase detection; Phase frequency detector; Power quality; Real time systems; Signal detection; Time domain analysis; Voltage fluctuations; Wavelet transforms;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918613