Abstract: In order to improve the economy and stability of the operation of active distribution network systems, an active distribution network reconstruction method based on the improved grey wolf optimization（IGWO） algorithm based is proposed.The active distribution network reconstruction model is established with the objective function of minimizing network loss and voltage offset in the distribution network system, and the multiple objectives is transformed into single objectives for solution.The grey wolf optimization algorithm is improved by employing strategies such as Tent chaotic mappeing, convergence coefficient index adjustment, and adaptive displacement, which significantly improve the optimization ability of the IGWO algorithm.Simulation testing is conducted using an improved IEEE 33 node system, and the reconstruction effect of the IGWO algorithm is compared with the GWO algorithm and PSO algorithm.The results show that the minimum network loss and minimum voltage offset after reconstruction using the IGWO algorithm are 54.89 kW and 0.007 72,respectively.Both indicators are better than those of the GWO algorithm and PSO algorithm, which verifies the practicality and superiority of the proposed active distribution network reconstruction method.