Fusion Treatment Method for Multi-source Data in Time-and Section-segmented Line Loss Diagnosis of Distribution Networks
The present work studied a fusion treatment method for multi-source data to realize time-and section-segmen-ted diagnosis of distribution network line loss.The method first achieves time-and section-segmented line loss calculation and analysis as well as accurate locating time and spatial intervals with line loss anomalies by fusing cross-business minute-level measured data obtained from D5000,distribution automation,and power consumption information collection.It sec-ond introduces refined segmentation and anomaly localization based on portable distribution network measurement devices which facilitate compensation for insufficient distribution automated terminals and solution of the'last mile'problem of a-nomaly diagnosis.The effectiveness of the proposed method was demonstrated through analyzing an actual case of abnor-mal electric usage.
distribution networkline loss locatingtime and section segmentationdiagnostic analysis