多源信号特征融合的电能质量扰动识别OA北大核心CSTPCD

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.