Harmonic Detection Technology for Power Grids Based on Adaptive Ensemble Empirical Mode Decomposition

doi:10.1109/ACCESS.2021.3055553

	Harmonic Detection Technology for Power Grids Based on Adaptive Ensemble Empirical Mode Decomposition
	Shi, Jianming 1; Liu, Zhongmin 2
刊名	IEEE Access
	2021
卷号	9 页码:21218-21226
关键词	Deep neural networks Electric power system control Harmonic analysis Neural networks Particle swarm optimization (PSO) Adaptive modeling Ensemble empirical mode decomposition Ensemble empirical mode decompositions (EEMD) Harmonic contents Harmonic detection Harmonic separation Optimal decomposition Poor performance
ISSN号	2169-3536
DOI	10.1109/ACCESS.2021.3055553
英文摘要	Harmonic detection and control for power grids have always been major concerns for researchers. With the application of diverse semiconductor materials in power systems, numerous asymmetrical loads arise, resulting in increasingly poor performance of traditional harmonic detection methods. Ensemble empirical mode decomposition (EEMD) provides a new approach for harmonic detection in power systems. Because the harmonic waves in power systems are indeterminate, optimal decomposition results cannot be achieved by means of artificially configured parameters. For such cases, the development of deep neural networks has provided a new solution for harmonic detection. In this study, particle swarm optimization is combined with a deep neural network to establish an adaptive harmonic separation algorithm. By training an adaptive model in this manner, adaptive EEMD can be realized. Moreover, decomposition parameters can be established based on the harmonic content of signals to effectively separate harmonic waves of diverse orders. © 2013 IEEE.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
WOS记录号	WOS:000616328100001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/147263]
专题	电气工程与信息工程学院
作者单位	1.Gansu Cultural Industry Equipment Engineering Research Center, Gansu University of Technology Stage Technology and Engineering Company Ltd., Lanzhou; 730050, China; 2.College of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Shi, Jianming,Liu, Zhongmin. Harmonic Detection Technology for Power Grids Based on Adaptive Ensemble Empirical Mode Decomposition[J]. IEEE Access,2021,9:21218-21226.
APA	Shi, Jianming,&Liu, Zhongmin.(2021).Harmonic Detection Technology for Power Grids Based on Adaptive Ensemble Empirical Mode Decomposition.IEEE Access,9,21218-21226.
MLA	Shi, Jianming,et al."Harmonic Detection Technology for Power Grids Based on Adaptive Ensemble Empirical Mode Decomposition".IEEE Access 9(2021):21218-21226.