论文标题
基于ATC的方案分解算法，用于考虑高光伏渗透率的分销网络的最佳功率流
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration
论文作者
论文摘要
本文着重于基于分析目标级联（ATC）的方案分解方法，该方法适用于具有高光伏渗透的随机OPF问题。原始的两阶段随机OPF模型被分解为上层的主问题，在下层中将多个子问题分解为多个子问题。这种分解使子问题更容易被解决，并且还可以有效地克服基于传统场景的模型中的维度诅咒。可以通过仅在上层和下层之间传输一些必要的耦合信息来获得全局最佳解决方案。此外，可以平行地解决较低级别的所有子问题，该方式可以提高计算效率，特别是对于具有较大场景的情况。 IEEE 33总线系统和各种较大系统的案例研究验证了所提出算法的有效性和适应性。
This paper focuses on the analytical target cascading (ATC) based scenario decomposition method which applies to the stochastic OPF problem of distribution networks with high photovoltaic penetration. The original two-stage stochastic OPF model is decomposed into a master problem in the upper level and multiple subproblems in the lower level. This decomposition makes subproblems easier to be solved and can also effectively overcome the curse of dimensionality in the traditional scenario-based model. The global optimal solution can be obtained by only transferring some necessary coupling information between the upper and lower levels. Moreover, all the subproblems in the lower level can be solved in a parallel manner which improves the computational efficiency, in particular, for cases with a larger number of scenarios. Case studies on the IEEE 33-bus system and various larger systems verify the effectiveness and adaptability of the proposed algorithm.
