Power systems typically consist of a large number of nodes and edges, with complex topologies. It is difficult to optimize the global topology of large-scale power systems. Therefore, a power system topology optimization method based on maximum connectivity subgraph is proposed. Analyze the relationship between the actual coverage, coverage area, and maximum connectivity subgraph degree of the node. Based on this, a series coverage path is proposed, so that the power system topology can meet the maximum connectivity subgraph coverage requirements of all points. Set the weightless map of the power system, calculate the redundancy path of the power system, establish the power system optimization function and formulate relevant constraints, and construct the topology optimization model. The experimental results show that under the application of the proposed method, the overlapping coverage between power system network nodes is reduced and the distribution is more uniform. The time required to calculate power system connectivity is shorter than the other two methods, and its connectivity is higher than the other two methods.