The invention relates to a normal distribution combination characteristic-based rapid probabilistic power flow calculation method. The method comprises the following steps: counting output power and load power data of a wind power plant, and drawing a nuclear density probability distribution diagram of node injection powers; determining gaussian mixture model parameters of the node injection powers and marking clear the characteristics of various sub-gaussians; combining the sub-gaussians of the node injection powers to represent a plurality of scenarios of the node injection powers; calculating expectations and variances of state variables in each scenario by a linear AC power flow model; and calculating a normal distribution curve of the state variables in each scenario according to the expectations and variances of the state variables in each scenario, and determining the final probability density function of the state variables. According to the normal distribution combination characteristic-based rapid probabilistic power flow calculation method, data information of the node injection powers is fully utilized; the probability distribution determining processes of the node injection powers and the state variables are simplified; and the determining efficiency and accuracy of the probabilistic power flow are greatly improved.