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
2秒前
无情夏槐发布了新的文献求助10
3秒前
3秒前
风华发布了新的文献求助30
4秒前
池鱼发布了新的文献求助10
5秒前
5秒前
Owen应助lixp采纳,获得10
7秒前
cheetah完成签到,获得积分10
9秒前
9秒前
万家顺发布了新的文献求助10
11秒前
11秒前
大模型应助乌拉挂机采纳,获得10
12秒前
12秒前
Z1POKK完成签到,获得积分10
13秒前
文林宝贝发布了新的文献求助10
14秒前
16秒前
科研通AI6.4应助秋雨采纳,获得10
17秒前
传奇3应助秋雨采纳,获得10
17秒前
17秒前
司马秋凌完成签到,获得积分10
17秒前
合法的天空完成签到,获得积分10
18秒前
ChenChen发布了新的文献求助20
18秒前
文献多多发布了新的文献求助10
18秒前
科研通AI6.3应助哈哈哈采纳,获得10
20秒前
20秒前
wanci应助忧子忘采纳,获得10
21秒前
xiaoxiao发布了新的文献求助10
22秒前
小二郎应助lyla采纳,获得10
22秒前
23秒前
23秒前
11完成签到 ,获得积分10
24秒前
海马回发布了新的文献求助10
25秒前
大杨完成签到,获得积分10
25秒前
wisteria发布了新的文献求助10
25秒前
科研通AI6.4应助文林宝贝采纳,获得10
26秒前
27秒前
wwliu199完成签到,获得积分10
28秒前
amey发布了新的文献求助10
28秒前
28秒前
一见喜完成签到,获得积分10
28秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576776
求助须知:如何正确求助?哪些是违规求助? 9156350
关于积分的说明 19588291
捐赠科研通 7160548
什么是DOI,文献DOI怎么找? 3265116
关于科研通互助平台的介绍 2430202
邀请新用户注册赠送积分活动 2255726