论文标题
偶然受限的最佳分配网络分配以增强电网弹性
Chance-Constrained Optimal Distribution Network Partitioning to Enhance Grid Resilience
论文作者
论文摘要
本文制定了偶然受限的最佳分配网络分配（ODNP）问题，该问题解决了负载和可再生能源的不确定性；并使用样品平均近似（SAA）提出了解决方案方法。目的是确定现有分布网格中的潜在子网络；如果丢失了主要网格的供应，那可能会作为自我升级的岛屿生存。 {这构成了计划问题。}实用的约束，例如确保网络径向和网格形成生成器的可用性。通过与以下比较进行比较评估所获得的溶液的质量，a）识别岛供应缺陷的概率上的上限，b）在真实问题的最佳值上的下限。 ODNP公式的性能在修改后的IEEE 37-BUS馈线上说明。结果表明，网络灵活性已很好地利用；分区随风险预算的变化； SAA方法能够以适度的计算成本产生高质量的解决方案。
This paper formulates a chance-constrained optimal distribution network partitioning (ODNP) problem addressing uncertainties in load and renewable energy generation; and presents a solution methodology using sample average approximation (SAA). The objective is to identify potential sub-networks in the existing distribution grid; that are likely to survive as self-adequate islands if supply from the main grid is lost. {This constitutes a planning problem.} Practical constraints like ensuring network radiality and availability of grid-forming generators are considered. Quality of the obtained solution is evaluated by comparison with: a) an upper bound on the probability that the identified islands are supply-deficient, and b) a lower bound on the optimal value of the true problem. Performance of the ODNP formulation is illustrated on a modified IEEE 37-bus feeder. It is shown that the network flexibility is well utilized; the partitioning changes with risk budget; and that the SAA method is able to yield good quality solutions with modest computation cost.
