Hilbert-Huang transform with adaptive waveform matching extension and its application in power quality disturbance detection for microgrid

Autor: Peng Li, Jing Gao, Duo Xu, Chang Wang, Xavier Yang
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Journal of Modern Power Systems and Clean Energy, Vol 4, Iss 1, Pp 19-27 (2016)
Druh dokumentu: article
ISSN: 2196-5420
DOI: 10.1007/s40565-016-0188-5
Popis: With the significant improvement of microgrid technology, microgrid has gained large-scale application. However, the existence of intermittent distributed generations, nonlinear loads and various electrical and electronic devices causes power quality problem in microgrid, especially in islanding mode. An accurate and fast disturbance detection method which is the premise of power quality control is necessary. Aiming at the end effect and the mode mixing of original Hilbert-Huang transform (HHT), an improved HHT with adaptive waveform matching extension is proposed in this paper. The innovative waveform matching extension method considers not only the depth of waveform, but also the rise time and fall time. Both simulations and field experiments have verified the correctness and validity of the improved HHT for power quality disturbance detection in microgrid.
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