Abstract: Without a priori topologic connection relationship, the accuracy rate of the low-voltage topology identification based on the data analysis method is difficult to evaluate quantitatively. Therefore, starting from the measured data quality required by the data analysis method, a method that can evaluate the credibility of identification results of the data analysis method based on the data quality measured by advanced metering infrastrucuture（AMI） is proposed. Firstly, the working principle of the data analysis method based on quadratic programming is analyzed, and the influence mechanism of the data quality on the identification accuracy is deduced. Secondly, considering three aspects of data integrity, data difference and data time scale, a data quality evaluation model highly correlated with identification accuracy is calculated, which quantifies the quality of the required data. Then, regarding the data quality evaluation score and the corresponding topology identification accuracy as the training sample, a model is built,which can judge the accuracy evaluation of the data analysis method based on the data quality measured by AMI. Finally, the effectiveness and practicability of the proposed model are verified by a test set constructed with the data of three typical low-voltage distribution networks in Guangdong Province of China.