Power distribution network grid structure planning optimization method based on intelligent algorithm

A power distribution network grid structure planning optimization method based on an intelligent algorithm comprises the following steps: 1, optimizing an objective function, and establishing the objective function with the minimum total cost as the objective, wherein the objective function comprises the power grid construction project investment cost and the system power shortage cost; 2, setting constraint conditions including power flow constraint, node voltage constraint, line capacity constraint, radial network constraint and electric energy loss constraint; and 3, solving by adopting an improved quantum particle swarm algorithm. According to the method, the optimal economical efficiency is taken as a target, and the power distribution network frame planning model suitable for the Mengdong low-load-density power supply environment is established. Through the improvement and application of the quantum particle swarm optimization algorithm, the planning optimization of the power distribution network grid s