随着信息通信技术的快速发展，5G基站作为高密度、高能耗的负荷节点为主动配电网扩展规划带来了新的机遇与挑战。提出一种考虑5G基站可调度潜力的主动配电网扩展规划方法。首先，根据5G基站的通信负载率将基站备用储能电池动态划分为最小备用电量和可调度电量。其次，为处理分布式电源出力和负荷需求的不确定性，采用变分贝叶斯高斯混合聚类算法构建典型日场景集。在此基础上，以年综合费用最小为目标函数，建立了考虑5G基站可调度潜力的主动配电网扩展规划模型。然后，为提高模型求解效率，利用二阶锥松弛法和Big-M法将模型转化为混合整数二阶锥规划模型。最后，基于Portugal 54节点算例仿真分析，验证了所提方法的可行性和有效性。

With the rapid development of information and communication technology, 5G base stations (5G BS), as high-density and high-energy-consuming load nodes, present both opportunities and challenges in the expansion planning of active distribution network (ADN). An ADN expansion planning method considering the dispatchable potential of 5G BS is proposed. Firstly, based on the communication load rate of 5G BS, the backup battery of the 5G BS is dynamically divided into minimum backup capacity and dispatchable capacity. Secondly, to address the uncertainty of distributed generation (DG) output and load demand, a clustering algorithm based on variational Bayesian Gaussian mixture model is used to construct typical daily scenarios. On this basis, with the minimum annual comprehensive cost as the objective function, an ADN expansion planning model considering 5G BS dispatchable potential is established. To improve the efficiency of model solving, the second-order cone relaxation method and the Big-M method are used to transform the model into a mixed-integer second-order cone programming problem. Finally, based on the Portugal 54-node simulation analysis, the feasibility and effectiveness of the proposed method are verified.