[Objective] The high proportion of distributed photovoltaic (DPV) integration changes the operation of the active distribution network (ADN), and the randomness and volatility of PV output leads to excessive active losses, increased voltage fluctuations, and unbalanced reactive power allocation in the distribution network. Therefore, this paper proposes a network partition voltage control method based on improved electrical distance, aiming to achieve partition voltage control for ADN with high proportion DPV. [Methods] In view of the large scale and high computational complexity of the decision variables and constraints of the centralized voltage optimization model in a high percentage of PV scenarios, this paper firstly proposed a network partition method based on the improvement of the electrical distance, which divided the ADN into multiple controllable sub-regions to reduce the solution scale. Secondly, a distributed voltage control strategy was designed for the voltage coordination problem at the boundary nodes of adjacent sub-region in the partition. Finally, a distributed solution method based on the slime mold algorithm was used to achieve an efficient solution for this strategy. [Results] Simulation verification was carried out using the IEEE 33 node model and a 199 node real system in the Qujing of Yunnan Province. The results showed that the proposed partition-based distributed voltage control optimization method not only effectively maintained the system voltage level, but also its distributed solution efficiency was significantly better than the centralized optimization method. [Conclusion] The proposed method successfully realizes the cooperative control of voltage in each sub-region and effectively maintains the system voltage level.