Disclosed is a probabilistic load flow calculation method based on quasi-Monte Carlo simulation. With random input variables as samples, the method comprises the steps of 1, obtaining the deterministic data and random input variables of load flow calculation; 2, selecting a sampling method to determine a sampling scale N; 3, obtaining a sample matrix of the random input variables; 4, sequentially conducting the probabilistic load flow calculation on the basis of the Ith row of the sample matrix, and storing a result (I=1,2,...,n); 5, analyzing the data distribution and statistical number of the output variables. The probabilistic load flow calculation method based on the quasi-Monte Carlo simulation has the advantages that the number of times of simulated sampling is irrelevant to the scale of a system, and the influences of various practical operation control strategies and multiple objective factors are easy to deal with.