Power distribution network bad data identification method based on mass tags

The invention discloses a power distribution network bad data identification method based on mass tags, and belongs to the field of power system calculation and analysis. Under the condition that multi-source data are acquired, corresponding data mass scores are evaluated through constraint rules of six influence factors such as voltage amount measurement U, current amount measurement I, active amount measurement P, active electricity measurement and reactive electricity measurement, mass tag values are calculated through the mass scores measured by the amounts after evaluation is finished, and bad data are identified according to the calculation result. The defect that in a traditional data identification method, local data errors are shared to all nodes is overcome, redundancy measured data of an upper voltage grade and a lower voltage grade are comprehensively utilized, in combination with the mass tags, the bad data are identified, and the quality of power distribution network virtual measurement and state estimation input data is improved.