In order to solve separable convex optimization problem with linear constraints, a partial parallel separation method with a projection correction step was put forward in this paper. This method makes full use of the structural features of the separable objective function in the prediction step.The use of the projection correction step ensures the convergence of the method. In the end of this paper, the numerical example results show the feasibility and the effectiveness of the algorithm.