Title :
Power quality signal analysis for the smart grid using the Hilbert-Huang transform
Author :
Zhixiong Cai ; Fan Ning ; Wei Li ; Gulliver, T.A.
Author_Institution :
Lab. of Commun. & Sensor Networks, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Power grids are currently undergoing a transformation to smart grids through the automation of the power distribution network. This paper considers the power quality in this network, and employs the Hilbert-Huang transform (HHT) to characterize power signal disturbances. Results are presented which show the advantages of the HHT in terms of data adaptivity and time-frequency resolution. The HHT clearly shows the underlying structure of the signal disturbances, which is essential for developing automatic disturbance detection and classification algorithms.
Keywords :
Hilbert transforms; power supply quality; signal classification; signal detection; smart power grids; Hilbert-Huang transform; automatic disturbance detection; data adaptivity; disturbance classification; power distribution network; power quality signal analysis; power signal disturbances; smart grid; time-frequency resolution; Interrupters; Oscillators; Power quality; Time-frequency analysis; Transforms; Transient analysis; Voltage fluctuations; Hilbert-Huang transform; Smart grid; non-stationary analysis; power quality signal analysis;
Conference_Titel :
Communications, Computers and Signal Processing (PACRIM), 2013 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
DOI :
10.1109/PACRIM.2013.6625492
