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author:

Liao, Y. (Liao, Y..) [1] | Li, W. (Li, W..) [2] | Wang, K. (Wang, K..) [3] | Guo, J. (Guo, J..) [4] | Shen, Y. (Shen, Y..) [5] | Wang, Q. (Wang, Q..) [6] | Zhang, Y. (Zhang, Y..) [7] | Wu, C. (Wu, C..) [8] | Zhou, X. (Zhou, X..) [9] | Guo, T. (Guo, T..) [10] | Kim, T.W. (Kim, T.W..) [11]

Indexed by:

Scopus

Abstract:

Increasing voltage levels and realizing power-line communications are important parts of a smart grid, and because of this, the need for intelligent, digital, and multi-functional electronic sensors that can simultaneously perform the functions of high-voltage monitoring and carrier-signal demodulation in a power transmission system is urgent. Inspired by the operation mode of light-emitting diodes (LEDs) driven by triboelectric-nanogenerators (TENGs), we propose an electrode-LED-electrode structure, namely, LED-in-capacitors (LIC), for high-voltage monitoring and high-frequency signal demodulation. We demonstrate that the proposed LIC can sensitively extract the high-voltage amplitude and detect the harmonic pollution on a power line due to the LIC's being highly sensitive to the rate of change of the electric potential. We build a one-dimensional convolutional neural network that we use to identify successfully, with correct rate as high as 94.53%, the harmonic pollution. Additionally, by using the LIC, we are able to demodulate accurately the high-frequency carrier signals transferred in the high-voltage line, showing that the LIC has promise for potential applications in power-line communications. As a novel type of electronic device derived from TENG-related technology, we believe the LIC can provide impetus for the development of next-generation high-voltage technology. © 2022

Keyword:

High-voltage monitoring One-dimensional convolutional neural network Power-line communications Triboelectric nanogenerators

Community:

  • [ 1 ] [Liao, Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Li, W.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Wang, K.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Guo, J.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Shen, Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Wang, Q.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 7 ] [Zhang, Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 8 ] [Zhang, Y.]Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, 350108, China
  • [ 9 ] [Wu, C.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 10 ] [Wu, C.]Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, 350108, China
  • [ 11 ] [Zhou, X.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 12 ] [Zhou, X.]Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, 350108, China
  • [ 13 ] [Guo, T.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 14 ] [Guo, T.]Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, 350108, China
  • [ 15 ] [Kim, T.W.]Department of Electronic and Computer Engineering, Hanyang University, Seoul, 04763, South Korea

Reprint 's Address:

  • [Wu, C.]College of Physics and Information Engineering, China;;[Kim, T.W.]Department of Electronic and Computer Engineering, South Korea

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Related Keywords:

Source :

Nano Energy

ISSN: 2211-2855

Year: 2022

Volume: 102

1 7 . 6

JCR@2022

1 6 . 8 0 0

JCR@2023

ESI HC Threshold:91

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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