为解决高渗透率分布式光伏接入配电网引发的电压越限与稳定性下降问题，提出一种基于分布式光伏集群划分的配电网电压调控策略。首先，构建考虑净负荷与等效电气距离的双指标模块度函数，应用基于模块度的社区发现算法(fast-unfolding)实现光伏集群动态划分；其次，根据集群越限程度设计差异化调压，轻度越限采用群内无功调节，严重越限引入多设备分层协同控制，按响应速度与经济优先级分配任务；最后，建立以网损最小和电压偏移最小为目标的优化模型，采用改进的多组织粒子群优化(multi-organization particle swarm optimization，MPSO)算法结合小生境技术，求解最优调节顺序与设备动作量。仿真结果表明，该方法在改进IEEE 33节点系统与IEEE 123节点系统中可有效控制电压波动，降低网损，提升系统稳定性。

To address voltage over-limit and instability issues caused by high penetration of distributed photovoltaic in distribution grids, this paper proposes a voltage regulation strategy based on distributed photovoltaic cluster partition. Firstly, a dual-criterion modularity function considering net load and equivalent electrical distance is constructed. A community detection algorithm based on modularity (i.e. fast-unfolding) is applied to dynamically partition photovoltaic clusters. Secondly, differentiated voltage regulation is designed according to the severity of cluster over-limit conditions: intra-cluster reactive power adjustment for mild over-limits, and multi-device hierarchical collaborative control for severe over-limits, with task allocation based on response speed and economic priority. Finally, an optimization model targeting minimization of network losses and voltage deviation is established. The improved multi-organization particle swarm optimization (MPSO) algorithm, combined with niche-based techniques, is employed to determine the optimal regulation sequence and device action levels. Simulation results demonstrate that this method effectively controls voltage fluctuations, reduces network losses, and enhances system stability in both the modified IEEE 33-node system and the IEEE 123-node system.