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基于注意力机制的光伏系统故障电弧检测与定位研究

杨淇 孟羽 陈思磊 武涵聪 杨晓华 李兴文

中国电机工程学报2024,Vol.44Issue(19):7840-7851,中插30,13.
中国电机工程学报2024,Vol.44Issue(19):7840-7851,中插30,13.DOI:10.13334/j.0258-8013.pcsee.231236

基于注意力机制的光伏系统故障电弧检测与定位研究

Research on Arc Fault Detection and Location in Photovoltaic Systems Based on Attention Mechanism

杨淇 1孟羽 1陈思磊 2武涵聪 1杨晓华 3李兴文1

作者信息

  • 1. 电工材料电气绝缘全国重点实验室(西安交通大学),陕西省 西安市 710049
  • 2. 西安理工大学电气工程学院,陕西省 西安市 710048
  • 3. 云南电网有限责任公司电力科学研究院,云南省 昆明市 650051
  • 折叠

摘要

Abstract

The series arc fault caused by insulation damage and other reasons may threaten the stable operation of photovoltaic systems seriously.Meanwhile,the ability of arc fault detection may be affected by the impedance network in photovoltaic systems,and the reliability of time-frequency detection methods is reduced.To address the challenge of detecting and locating arc fault caused by impedance networks,this paper establishes a DC arc fault experimental platform with photovoltaic impedance network module.The arc fault experiments with different current levels,loads,and simulated lengths of lines are conducted.The current signal is analyzed through fast Fourier transform(FFT)spectrum and wavelet transform.The amplitude ratio and lift ratio indicators are constructed to evaluate the difference of arc fault feature before and after the photovoltaic impedance network.The weakening effect of photovoltaic impedance network on arc fault feature is analyzed.The three-point symmetric differential energy operator(DEO3S)is applied to the wavelet reconstruction signal to enhance the feature of each frequency band within 100 kHz that the arc fault detection is effectively improved.The arc fault detection and location algorithm based on Long Short-term Memory network with Attention mechanism is proposed according to the law of attenuation of feature with the line grows.The location of series arc fault within 0~80 m is achieved with a maximum error of no more than 4m.It may provide crucial theoretical and technical references for developing arc fault detection modules in photovoltaic systems.

关键词

光伏系统/故障电弧/三点对称差分能量算子/注意力机制/故障定位

Key words

photovoltaic systems/arc fault/three-point symmetric differential energy operator(DEO3S)/attention mechanism/fault location

分类

信息技术与安全科学

引用本文复制引用

杨淇,孟羽,陈思磊,武涵聪,杨晓华,李兴文..基于注意力机制的光伏系统故障电弧检测与定位研究[J].中国电机工程学报,2024,44(19):7840-7851,中插30,13.

基金项目

国家自然科学基金项目(52107168) (52107168)

陕西省科技计划项目(2022TD-59) (2022TD-59)

中国南方电网云南电网有限责任公司科技项目(YNKJXM20222147). Project Supported by National Natural Science Foundation of China(52107168) (YNKJXM20222147)

Science and Technology Plan Project of Shaanxi Province(2022TD-59) (2022TD-59)

Science and Technology Project of China Southern Power Grid,Yunnan Power Grid Co.,Ltd.(YNKJXM20222147). (YNKJXM20222147)

中国电机工程学报

OA北大核心CSTPCD

0258-8013

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