基于Time-GAN的串联电弧电流超分辨率重建

龙葵; 牟炜淇; 李秋惠; 刘嘉威; 陈旭凯; 苏盛

doi:10.19912/j.0254-0096.tynxb.2024-1199

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (11) : 260-271. DOI: 10.19912/j.0254-0096.tynxb.2024-1199

基于Time-GAN的串联电弧电流超分辨率重建

龙葵¹, 牟炜淇¹, 李秋惠¹, 刘嘉威¹, 陈旭凯¹, 苏盛²

作者信息 +

SUPER-RESOLUTION RECONSTRUCTION OF SERIES ARC CURRENT UTILIZING TIME-GAN

Long Kui¹, Mou Weiqi¹, Li Qiuhui¹, Liu Jiawei², Chen Xukai², Su Sheng²

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文章历史 +

摘要

针对串联电弧高频数据提取困难的问题,提出基于时间序列生成对抗网络（Time-GAN）的串联电弧电流超分辨率重建方法,旨在对时域采样的电流信号进行超分辨率处理,以获取更高频的电流信号。首先搭建光伏系统下低压电弧故障真型实验平台,用不同采样率采集相关数据;然后分析不同采样率对数据时频域采集的影响;再对低采样率的时序数据进行超分辨率重构,生成高频的电流采集数据;最后与高采样率电流信号对比。实验结果表明,基于Time-GAN的超分辨率算法能有效提升电弧电流的采样频率。

Abstract

Extracting high-frequency data related to series arc faults presents considerable challenges.To solve this problem, we propose a super-resolution reconstruction method for series arc current based on Time-GAN （Time-Generative Adversarial Network）. This method aims to perform super-resolution processing on time-domain sampled current signals to obtain higher frequency time-domain signals, thereby achieving higher frequency domain signals. Firstly, a true-scale experimental platform for low-voltage arc faults in photovoltaic systems was established, and relevant data were collected at different sampling rates. Secondly, we analyzed the impact of different sampling rates on time-frequency domain data collection. Then, we applied the super-resolution algorithm to the low sampling rate time series data to generate high sampling rate time-frequency domain data, and compared it with the original high sampling rate time-frequency domain data. Experimental results demonstrate that the Time-GAN-based time super-resolution algorithm significantly enhances the sampling frequency of current signals.

导出引用

龙葵, 牟炜淇, 李秋惠, 刘嘉威, 陈旭凯, 苏盛. 基于Time-GAN的串联电弧电流超分辨率重建[J]. 太阳能学报. 2025, 46(11): 260-271 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1199

Long Kui, Mou Weiqi, Li Qiuhui, Liu Jiawei, Chen Xukai, Su Sheng. SUPER-RESOLUTION RECONSTRUCTION OF SERIES ARC CURRENT UTILIZING TIME-GAN[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 260-271 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1199

中图分类号： TM616

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