In order to improve the detection accuracy of disturbance sources and accurately control the distortion or offset of three-phase voltage waveforms,a multiple disturbance source detection method for extreme scenario distribution network power quality is proposed based on an improved XGBoost model to address the problem of distortion or offset in three-phase voltage waveforms.In the distribution network environment,the power quality of the distribution network is detected by the analysis of the distribution network operation signal.Aimed at the distribution network signals with disturbance phenomenon,the im-proved XGBoost model is used to extract the distribution network signals with disturbance phenomenon,match the feature and determine the type,and output the detection results.The experiment shows that the methed can control the voltage deviation and frequency deviation of the distribution network in extreme scenarios below the preset values,and has good detection per-formance and application performance.
关键词
改进XGBoost模型/极端场景/配电网电能质量/扰动源检测
Key words
improved XGBoost model/extreme scenario/power quality of distribution network/disturbance source detection
维普
万方数据