论文标题
最佳功率流的机会限制调谐
Chance Constraint Tuning for Optimal Power Flow
论文作者
论文摘要
在本文中，我们考虑了最佳功率流问题的机会约束，以处理可再生产生和负载可变性导致的不确定性。我们提出了一种调整方法，该方法在求解优化问题的近似重新印度和使用基于后样本样本的评估以完善重新制定之间进行迭代。我们的方法适用于单一机会和关节机会限制，并且不依赖于对不确定性的任何分布假设。在IEEE 24总线系统的案例研究中，我们证明了我们的方法是计算上有效的，并且在没有过度保守主义的情况下实施了机会限制。
In this paper, we consider a chance-constrained formulation of the optimal power flow problem to handle uncertainties resulting from renewable generation and load variability. We propose a tuning method that iterates between solving an approximated reformulation of the optimization problem and using a posteriori sample-based evaluations to refine the reformulation. Our method is applicable to both single and joint chance constraints and does not rely on any distributional assumptions on the uncertainty. In a case study for the IEEE 24-bus system, we demonstrate that our method is computationally efficient and enforces chance constraints without over-conservatism.
