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

doi:10.1007/s40565-016-0188-5

Home > Archive>Volume 4, Issue 1, 2016 >19-27. DOI:10.1007/s40565-016-0188-5

DOI:

10.1007/s40565-016-0188-5

Author:

Peng LI
Peng LI
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, 071003, China
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Jing GAO
Jing GAO
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, 071004, China
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Duo XU
Duo XU
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, 071005, China
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Chang WANG
Chang WANG
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, 071006, China
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Xavier YANG
Xavier YANG
R&D of Electricite de France (EDF), China Center, Beijing, China
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Affiliation:

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding, 071003, China 2. R&D of Electricite de France (EDF), China Center, Beijing, China

Fund Project:

National High Technology Research and Development Program of China (863 Program) (No. 2015AA050104) and National Natural Science Foundation of China (No. 51577068).

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Abstract:

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.

Key words:Adaptive waveform matching extension, End effect, Improved Hilbert-Huang transform, Microgrid, Power quality

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Online: January 22,2016
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