As the terminal user of power system, the model accuracy of power load has profound influence on the accuracy of power system operation analysis. In recent years, a large amount of steady-state data has been collected by measuring devices in distribution networks. How to realize the parameters identification for static load with these measured data becomes a new research problem. A static load parameters identification method based on distribution network measured data is proposed. Firstly, the measured active power data is clustered to obtain the similar load curves with similar load characteristic. Then, under the assumption that similar load characteristic corresponds to similar load parameters, a model for static load parameters identification is established, and solved by optimization algorithm to get the parameters of daily static load.Lastly, case studies demonstrate the feasibility and effectiveness of the proposed methodt extent.