NDLI: Simplified and fast method without considering filter for voltage flicker detection

Content Provider	IET Digital Library
Author	Xia, Rui Gao, Yunpeng Li, Canbing Wu, Cong Wang, Chao
Abstract	Voltage fluctuations caused output variation in the distributed energy system (such as solar, photovoltaic, and wind) produce flickers. The extraction of voltage flicker envelope parameters and accurate calculation of voltage flicker values are important for voltage flicker detection. Traditional digital filters need to be calculated according to the sampling frequency before they can be designed so that the flicker meter can only sample at a fixed frequency. To overcome the shortcomings of digital filters, a new method for measuring flickers is presented in this study. The proposed method uses analytical mode decomposition (AMD) based on spectral correction and a novel constructed mutual convolution window. The voltage flicker envelope can be extracted using an AMD method, which can replace the filter used in traditional methods, it can be analysed to obtain the corrected spectrum, which is based on an improved fast Fourier transform. The proposed method simplifies the voltage flicker detection process and exhibits high detection accuracy, which with lower detection relative error and stronger anti-interference ability. The simulation analysis and experimental results show that this approach can effectively overcome problems associated with voltage flicker measurements, such as single modulation wave frequency change and multi-frequency modulation wave fluctuation.
Starting Page	3260
Ending Page	3268
Page Count	9
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 16, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0131
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-05-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AMD Method Analytical Mode Decomposition Convolution Detection Relative Error Distributed Energy System Distributed Power Generation Fast Fourier Transform Flicker Meter Harmonics Improved Fast Fourier Transform Integral Transforms Mutual Convolution Window Power Supply Quality Sampling Frequency Simulation Analysis Single Modulation Wave Frequency Change Spectral Correction Traditional Digital Filter Voltage Flicker Detection Process Voltage Flicker Envelope Parameter Extraction Voltage Flicker Measurement Voltage Fluctuation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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