安徽大学学报（自然科学版）2024，Vol.48Issue(4)：62-66,5.DOI:10.3969/j.issn.1000-2162.2024.04.010
多源信号特征融合的电能质量扰动识别
Power quality disturbance identification based on multi-source signal feature fusion
摘要
Abstract
To address the issues of instability and intermittency in the output of renewable energy sources such as wind and solar power affecting power quality,a method for power quality disturbance identification based on multi-source signal feature fusion was proposed.This method introduced current information to enhance disturbance features,providing a new perspective for solving power quality disturbance identification.Case analysis results indicated that compared with two other methods,the proposed method achieved the highest scores in four evaluation metrics(accuracy,precision,recall and Fl score).Therefore,the proposed method demonstrated superiority.关键词
电能质量扰动/残差网络/多源信号特征融合/相对位置矩阵/有效通道注意力Key words
power quality disturbance/residual network/multi-source signal feature fusion/relative position matrix/ECA分类
信息技术与安全科学引用本文复制引用
陈思源,程志友,杨猛,胡乐乐..多源信号特征融合的电能质量扰动识别[J].安徽大学学报（自然科学版）,2024,48(4):62-66,5.基金项目
国家自然科学基金资助项目(6227020935) （6227020935）
安徽省科技重大专项(18030901018) （18030901018）
