Self-adaptive network dividing method for transient simulation of large power grid

The invention discloses a self-adaptive network dividing method for transient simulation of a large power grid, and the method comprises the steps: mapping a power system into a graph structure based on the similarity between the original data of the power system and the graph structure, and carrying out the simplification preprocessing of the graph structure; then, based on a k-way thought, performing initial segmentation by using an improved density peak clustering method; for the initial segmentation result, segmentation quality optimization is carried out on the initial segmentation result based on a linear decision greedy method; and finally, utilizing an improved linear decision greedy method to optimize a graph structure segmentation result, and inversely mapping the graph structure segmentation result into a power system to obtain a power grid division result for electromagnetic transient parallel simulation. According to the method, the degree of freedom of the number of obtained sub-networks is high