The paper presents a substations optimization planning method based on hybrid quantum-inspired evolutionary algorithm (HQIEA) for the 110 kV substations combinational optimization. The method integrates the advantages of quantum evolutionary algorithm (QIEA) and the greedy random adaptive search algorithm (GRASP). The QIEA has the advantage of quick convergence rate and powerful ability of global search. The GRASP is good at the local search. The method is applied to 110 kV substations planning of a county in Sichuan. The result shows that it can optimize the number and capacity of substations. The results comply with current power demand and substations construction trend of the county, and have important reference value for the current power grid planning construction planning. It shows the effectiveness of the method.