TL;DR本文提出了使用分类算法来学习不确定性实现与最优解的约束集之间的映射,以进一步增强实时预测的计算效率。我们采用神经网络分类器来完成这项任务,并在 IEEE PES PGLib-OPF 基准库中的多个系统上展示了这种方法的优异性能。
Abstract
The optimal power flow is an optimization problem used in power systems
operational planning to maximize economic efficiency while satisfying demand
and maintaining safety margins. Due to uncertainty and variability in renewable
energy generation and demand, the optimal solution needs