电气技术2025，Vol.26Issue(5)：10-16,26,8.
基于超声波传感器与孤立森林的光伏系统串联电弧故障诊断方法
Series arc fault diagnosis method for photovoltaic system based on ultrasonic sensor and isolation forest
黄晨昊 1高伟1
作者信息
- 1. 福州大学电气工程与自动化学院,福州 350108
- 折叠
摘要
Abstract
Aiming at the problem of the lack of historical data on arc faults in most photovoltaic power stations,this paper proposes a photovoltaic system series arc fault diagnosis method based on ultrasonic sensors and isolation forest after collecting arc ultrasonic signals and analyzing their characteristics.Firstly,arc ultrasonic signals are collected and their characteristics and advantages are analyzed.Secondly,the S-transform is used to convert the transient voltage signal of the ultrasonic wave during the occurrence of series arc faults to the time-frequency domain.Then,the Teager energy operator is used to amplify the spectral differences.Subsequently,the time-frequency entropy is used to extract the time-frequency domain features of arc faults.Finally,arc faults are diagnosed based on dynamic thresholds and isolation forest without the need for historical data.Experimental results show that the proposed method can accurately identify series arc faults,with a diagnosis accuracy rate of 97.25%,and has strong anti-interference ability.关键词
光伏系统/电弧故障诊断/超声波信号/S变换/孤立森林Key words
photovoltaic system/arc fault diagnosis/ultrasonic signal/S-transform/isolation forest引用本文复制引用
黄晨昊,高伟..基于超声波传感器与孤立森林的光伏系统串联电弧故障诊断方法[J].电气技术,2025,26(5):10-16,26,8.
