论文标题
使用减少的径向配电系统的网络当量分布式优化
Distributed Optimization using Reduced Network Equivalents for Radial Power Distribution Systems
论文作者
论文摘要
电力系统操作的集中优化方法的局限性导致了分布式计算范式，尤其是在电源分配系统中。最近在解决分布式优化问题的文献中报告的现有技术对于配电系统应用不可行。基本缺点仍然是大量所需的通信回合，即计算剂之间的宏观深思，以解决优化问题的一个实例；典型的宏观识别数为10^2〜10^3。在本文中，提出了一种基于等效网络近似（ENAPP）的新的可扩展分布式优化方法，以解决平衡的径向分配系统的最佳功率流（OPF）。具体而言，分发系统的径向拓扑被利用以将分解系统减少到上游和下游网络等效物中。提出的创新减少了按数量级收敛的宏观透视/通信量数量。该方法使用IEEE 123-BUS和IEEE 8500节点测试系统验证，并显示为使用等效的集中式OPF（C-OPF）模型获得的相同最佳解决方案。
The limitations of centralized optimization methods for power systems operation have led to the distributed computing paradigm, particularly in power distribution systems. The existing techniques reported in recent literature for solving distributed optimization problems are not viable for power distribution systems applications. The essential drawback remains a large number of required communication rounds, i.e., macro-iterations among the computing agents to solve one instance of the optimization problem; the typical number of macro-iterations are in the order of 10^2~10^3. In this paper, a new and scalable distributed optimization method based on Equivalent Network Approximation (ENApp) is proposed to solve optimal power flow (OPF) for a balanced radial distribution system. Specifically, the distribution system's radial topology is leveraged to reduce the decomposed systems into upstream and downstream network equivalents. The proposed innovations reduce the required number of macro-iterations/communication-rounds for convergence by order of magnitude. The approach is validated using IEEE 123-bus and IEEE 8500-node test systems and is shown to converge to the same optimal solution as obtained using an equivalent centralized OPF (C-OPF) model.
