高压电器2025，Vol.61Issue(10)：218-226,9.DOI:10.13296/j.1001-1609.hva.2025.10.023
基于频谱余弦距离的光伏系统串联电弧故障检测方法
Series Arc Fault Detection Method for Photovoltaic Systems Based on Spectral Cosine Distance
摘要
Abstract
In case of arc fault in photovoltaic(PV)system,the fault signal is easily affected by such factors as light intensity variation and,moreover,high-frequency fault signals tend to attenuate as they propagate through cables,making series arc fault in PV systems difficult to be detected.The existing arc fault detection methods for PV systems exhibit limited study on the fault detection under high current and long distance cables,and are lack of validation of the effectiveness in real PV systems.For effectively detecting the arc faults occurring in the PV systems,the experi-mental platforms for arc faults in low-voltage DC(LVDC)system and PV system are firstly set up,and the arc fault da-ta is obtained through series arc drawing experiments.Then,fast Fourier transform is used to analyze the frequency spectrum before and after the occurrence of the arc fault,and the influence of different electrode materials on the fault characteristics in the frequency domain is investigated.Based on the frequency domain characteristics of differ-ent system faults,the spectral cosine distance between time windows of arc current within the characteristic frequen-cy band is used as the fault feature parameter,and a series arc fault detection algorithm for PV systems based on spec-tral cosine distance is proposed.The effectiveness of the proposed detection method is verified in PV systems,with a detection accuracy of 97.6%.This algorithm,compared with the algorithms proposed in existing studies,has a maxi-mum detection current of 25 A,a maximum detection distance of 400 m and a high detection accuracy.关键词
低压直流系统/光伏系统/串联电弧/故障检测/余弦距离Key words
LVDC systems/PV systems/series arc fault/fault detection/cosine distance引用本文复制引用
郭佳豪,肖小龙,刘建,朱卫平,陆晓星,薛志通,张钧益,熊庆,汲胜昌..基于频谱余弦距离的光伏系统串联电弧故障检测方法[J].高压电器,2025,61(10):218-226,9.基金项目
国家电网有限公司科技项目(J2024215).Project Supported by Science and Technology Project of State Grid Corporation of China(J2024215). （J2024215）
