TENG-inspired LED-in-capacitors for smart self-powered high-voltage monitoring and high-sensitivity demodulation of power-line communications

材料科学 解调 电容器 电气工程 电压 信号(编程语言) 谐波 电力线通信 高压 功率(物理) 计算机科学 电子工程 工程类 声学 物理 频道(广播) 量子力学 程序设计语言
作者
Yitao Liao,Wenhao Li,Kun Wang,Jiawei Guo,Yiwei Shen,Qiman Wang,Yongai Zhang,Chaoxing Wu,Xiongtu Zhou,Tailiang Guo,Tae Whan Kim
出处
期刊:Nano Energy [Elsevier BV]
卷期号:102: 107698-107698 被引量:10
标识
DOI:10.1016/j.nanoen.2022.107698
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
liuhk完成签到,获得积分10
刚刚
刚刚
充电宝应助勤劳的硬币采纳,获得10
刚刚
SciGPT应助忆之采纳,获得10
刚刚
哭泣忆文完成签到,获得积分10
刚刚
布同完成签到,获得积分0
1秒前
1秒前
zcy完成签到,获得积分10
1秒前
淡定问柳发布了新的文献求助10
1秒前
1秒前
好困发布了新的文献求助10
2秒前
2秒前
好人一生平安完成签到,获得积分10
2秒前
高帅帅完成签到,获得积分10
2秒前
ding应助clcl采纳,获得10
3秒前
3秒前
4秒前
uni发布了新的文献求助10
4秒前
高贵振家发布了新的文献求助10
4秒前
科研小天才完成签到 ,获得积分20
5秒前
1569lei完成签到 ,获得积分10
5秒前
5秒前
思源应助激动的泥猴桃采纳,获得10
5秒前
Selina完成签到 ,获得积分10
5秒前
6秒前
时冬冬发布了新的文献求助10
6秒前
圈儿多尼完成签到,获得积分10
6秒前
6秒前
自然樱桃发布了新的文献求助80
6秒前
6秒前
丘比特应助lyra采纳,获得10
6秒前
bbb发布了新的文献求助10
7秒前
7秒前
科研通AI2S应助一只小学弱采纳,获得10
7秒前
慢慢完成签到,获得积分10
7秒前
芜湖发布了新的文献求助10
7秒前
22333完成签到,获得积分10
7秒前
pp7发布了新的文献求助10
8秒前
追寻航空完成签到,获得积分10
8秒前
牛牛完成签到,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362877
求助须知:如何正确求助?哪些是违规求助? 8176794
关于积分的说明 17229878
捐赠科研通 5417776
什么是DOI,文献DOI怎么找? 2866848
邀请新用户注册赠送积分活动 1844062
关于科研通互助平台的介绍 1691695