论文标题
大型分销网络中的多层最佳功率流求解器
Multi-Level Optimal Power Flow Solver in Large Distribution Networks
论文作者
论文摘要
解决大型分销网络的最佳功率流(OPF)问题会导致高计算复杂性。我们考虑了一个大型的树木拓扑分布网络,具有活跃设备的深度渗透。我们将网络分为具有子树拓扑和subares的协作领域,其中包含sububtree拓扑。我们设计了原始双重梯度算法的多层次实施,以解决电压调节问题,同时保留区域和亚地区内的节点电压信息和拓扑信息。 4,521节点系统上的数值结果验证了所提出的算法可以显着提高计算速度而不会损害任何最佳性。
Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topology with a deep penetration of active devices. We divide the network into collaborating areas featuring subtree topology and subareas featuring subsubtree topology. We design a multi-level implementation of the primal-dual gradient algorithm to solve the voltage regulation OPF problems while preserving nodal voltage information and topological information within areas and subareas. Numerical results on a 4,521-node system verify that the proposed algorithm can significantly improve the computational speed without compromising any optimality.