Due to the fluctuation and uncertainty of the output of micro photovoltaics，their connection will have an impact on the load characteristics of the distribution network.To address this issue，a static load elasticity modeling method is proposed for high-penetration photovoltaic microgrid distribution networks.Firstly，a three-phase unbalanced power flow algorithm is adopted based on backward scanning to handle the changes in the static load model through the concept of elasticity.Meanwhile，in light of the elastic variation range of residential load，a random variation method is employed，and a Monte Carlo method based on the Gaussian normal distribution is used for random calculation to obtain the voltage amplitude and phase of each busbar.In addition，a group of scenarios are set up to evaluate different seasons，weeks，and time periods within a day.The research results indicate that during the noon period of summer，due to the high penetration and output characteristics of photovoltaic power generation，the distribution network is prone to high voltage.During the peak load period at night in winter，however，due to the increase in load demand，the voltage may approach or even drop to an acceptable minimum limit.