The invention relates to a power distribution network measurement abnormal data identification method and device. The method comprises the steps of dividing categories to which daily power distribution network measurement data to be measured belongs; comparing the judgment value of the power distribution network measurement data at each moment in the to-be-measured day relative to the category towhich the power distribution network measurement data belongs with the upper and lower limit values of the power distribution network measurement data at each moment of the category to which the to-be-measured day belongs; if the judgment values are both between the upper limit value and the lower limit value, the daily power distribution network measurement data to be measured being normal data.According to the method, the clustering center is determined based on the historical power distribution network measurement data before the category to which the daily power distribution network measurement data to be measured belong is divided, and then the clustering category is determined, so that the problem that the clustering number cannot be adaptively determined in the data identificationprocess in the prior art is solved. The abnormal measurement data of the daily power distribution network to be measured is identified through the upper and lower limit values of the clustering category, so that the problem of low efficiency in processing the clustering problem of a large data volume in the prior art is solved.