With the increasing integration of distribution generations (DGs), active distribution networks (ADNs) need to address the new challenges in voltage control. Meanwhile, the traditional centralized method in reactive power optimization usually leads to a heavy computational burden for large-scale distribution networks. A distributed voltage control model with a novel network partitioning method is proposed in this study, where the capacity curve of DGs and the regulation of electrical storage systems (ESS) are specially addressed. According to the number of decision variables and the number of constraints in the optimization model, the computational complexity can be utilized in the network partitioning method with the power balance and the electrical distance to automatically partition a distribution network in an optimal manner. Taking the coordination between two boundary sub-areas into consideration, a distributed voltage control strategy is developed and solved by a distributed solution method based on Lagrangian dual relaxation. Finally, numerical studies based on two IEEE test systems and a practical 152-bus system are performed to verify the effectiveness of the proposed method.

中文翻译：

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考虑可再生能源的有源配电网分布式电压控制：一种新的网络划分方法

随着配电网 (DG) 的日益集成，有源配电网络 (ADN) 需要应对电压控制方面的新挑战。同时，传统的集中式无功优化方法通常会给大规模配电网带来沉重的计算负担。本研究提出了一种采用新型网络划分方法的分布式电压控制模型，其中专门解决了分布式电源的容量曲线和储能系统 (ESS) 的调节问题。根据优化模型中决策变量的数量和约束条件的数量，可以在具有功率平衡和电气距离的网络划分方法中利用计算复杂度，以最佳方式自动划分配电网络。考虑到两个边界子区域之间的协调，采用基于拉格朗日对偶松弛的分布式求解方法开发并求解分布式电压控制策略。最后，基于两个 IEEE 测试系统和一个实际的 152 总线系统进行了数值研究，以验证所提出方法的有效性。