Plant multi-direction growth simulation algorithm (PMGSA) was applied to solve distribution network static reconfiguration problem. In the process of plant growth, its overall form contains fractal nature. From optimization mathematical perspective, growing point corresponding control variables, tree trunks and branches constitute solution space, light conditions with the best point corresponding optimal solution, roots corresponding initial value. So PMGSA can be used to solve the integer programming problem of distribution network reconfiguration. PMGSA, which is based on basic plant growth simulation algorithm, improves the calculation of the phytohormone and increases the random growth direction of new branch. At the same time, PMGSA was improved by enriching the random growth direction. Basic loop was selected as control variable. The reconfiguration results of three typical testing systems including IEEE16, IEEE33, PG&E69, and three large real networks including Taipower84, Bus119 and Bus136 show that plant multi-direction growth simulation algorithm has good global optimization capability and the diversity of feasible solutions enables convergence speed faster.