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Research on Voltage Disturbance Analysis Method for Electric Vehicle Charging Pile

Published: 10 April 2023 Publication History

Abstract

With the deployment of a large number of electric vehicle charging piles, the existence of a large number of power electronic converters and nonlinear loads in the charger will affect the power quality of the distribution network. The analysis of power disturbance signal is of great practical significance for improving power quality and safety and stability of power system. In order to overcome the defect that traditional time-frequency transform method is difficult to separate and extract disturbance signals effectively, a voltage disturbance analysis method for electric vehicle charger is proposed. Firstly, the multiple matching synchronous transform (MMSST) is used to decompose the disturbed signal to obtain the intrinsic mode functions (IMF). Then, the disturbed signal is analyzed through the instantaneous frequency and amplitude obtained by Hilbert Transform (HT). The experimental results show that this method can effectively extract the disturbance components in the voltage disturbance signal and realize the effective identification of power quality disturbance.

References

[1]
HUANG Rui, SHAN Xuansheng, WEN He, Estimation Method of Power System Oscillation Signal under Power Swing with Using Complex Spectral Interpolation DFT[J]. Journal of Hunan University (Natural Sciences), 2021, 48(10):170-177.
[2]
Ren Zihui, Liu Haoyue, Xu Jinxia. Power quality disturbance analysis based on wavelet transform and improved Prony method[J]. Power System Protection and Control, 2016, 44(09):122-128.
[3]
IEEE Recommended Practice for Monitoring Electric Power Quality. IEEE Std. 1159-2019, IEEE standard[S]. NewYork: IEEE, 2019.
[4]
WANG Kai, LIU Zhiguo, LIU Gang, Shock Signal Filtering Based on Adaptive Decomposition Level of Wavelet Transformation[J]. Journal of Hunan University (Natural Sciences), 2015, 42(10): 65-71.
[5]
YANG Dechang, C. Rehtanz1, LI Yong, Researching on Low Frequency Oscillation in Power System Based on Improved HHT Algorithm[J]. Proceedings of the CSEE, 2011, 31(10):102-108.
[6]
Zhang Xixi, Gu Xingsheng. Feature Extraction Method of Motor Bearing Based on Improved Empirical Mode Decomposition[J]. Control Engineering of China, 2020, 27(11): 1882-1891.
[7]
G. Yu, Z. Wang, and P. Zhao. Multisynchrosqueezing Transform[J]. IEEE Transactions on Industrial Electronics, 2019, 66(7): 5441-5455.
[8]
G. Thakur, E. Brevdo, N. S. Fučkar, and H.-T. Wu. The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications[J] Signal Processing, 2013, 93(5): 1079-1094.
[9]
Hu Lei1, Chen Xiangbo, Xiong Kui, Power quality disturbance detection method based on improved HHT[J]. Electrical Measurement & Instrumentation, 2018, 55(21): 105-111.
[10]
Xu Jiaxiong, Zhang Ming, Wang Yang, Location and Classification of Power Quality Disturbances Based on Improved Hilbert-HuangTransform[J].1-8[2021-09-03].https://doi.org/10.19725/j.cnki.1007-2322.2020.0179.

Cited By

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  • (2024)Situation Awareness Method for Electric Vehicles Charging Pile Clusters Based on Edge Computing2024 36th Chinese Control and Decision Conference (CCDC)10.1109/CCDC62350.2024.10587597(1060-1065)Online publication date: 25-May-2024

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ICITEE '22: Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering
November 2022
739 pages
ISBN:9781450396806
DOI:10.1145/3582935
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2023

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Author Tags

  1. Charge pile
  2. Electric energy disturbance
  3. Multiple matching synchronous compression transform

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  • Research-article
  • Research
  • Refereed limited

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  • Science and Technology Project of State Grid Hunan Electric Power Co., Ltd

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ICITEE 2022

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  • (2024)Situation Awareness Method for Electric Vehicles Charging Pile Clusters Based on Edge Computing2024 36th Chinese Control and Decision Conference (CCDC)10.1109/CCDC62350.2024.10587597(1060-1065)Online publication date: 25-May-2024

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