In the context of the"dual carbon"strategy,the form of distribution systems is facing enormous challenges.With the large-scale integration of renewable energy,the distribution system is evolving towards the four elements of"source network load storage".In response to this challenge,a hive state distribution network planning model was proposed based on the applicability of hive mind in dis-tribution network planning.Firstly,by analyzing the physical architecture,operation mode,evolution,and interaction of the hive state,a physical topology structure of the hive mind distribution network was constructed.Secondly,using 5G slicing technology,an information architecture of"5G+ad hoc network"for communication was established.Finally,the Markov Decision Model(MDP)prediction theory was used to analyze the experimental results.The results showed that compared with traditional distribution network planning,the pro-posed planning model achieved significant reductions in investment costs,power losses,load losses,and renewable energy reduction.Un-der the distribution network of IEEE three types of buses,the calculation time was saved by 68.18%,82.89%,and 90.81%compared to traditional distribution network planning,respectively.Therefore,this plan can meet the energy autonomy requirements when a high proportion of distributed energy is connected to the power grid,and has a positive significance for improving the flexibility,reliability,flexibility adaptability,and economic benefits of the distribution network.