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This paper present a parallel solving method of large-scale power flow correction equations and the program implementation based on the shared memory programming model OpenMP, which Improve the utilization rate the computer CPU resources and the computing speed. The method uses factor tables for solving the power flow equations. Combined the sparsity of correction equations coefficient matrix, the rows which can be do normalized simultaneously are grouped for doing the normalization and elimination operations in parallel. Meanwhile, use the row grouping information which is obtained during the factor table generation process to do parallel previous generation computing. Finally, the simulation for the actual power grid verified the validity and rationality of the method.