Solving the AC optimal power flow problem (AC-OPF) is critical to the
efficient and safe planning and operation of power grids. Small efficiency
improvements in this domain have the potential to lead to billions of dollars
of cost savings, and significant reductions in emissions from fossil fuel
generators. Recent work on data-driven solution methods for AC-OPF shows the
potential for large speed improvements compared to traditional solvers;
however, no large-scale open datasets for this problem exist. We present the
largest readily-available collection of solved AC-OPF problems to date. This
collection is orders of magnitude larger than existing readily-available
datasets, allowing training of high-capacity data-driven models. Uniquely, it
includes topological perturbations - a critical requirement for usage in
realistic power grid operations. We hope this resource will spur the community
to scale research to larger grid sizes with variable topology.

交流最佳功率流问题是电网规划和运行的高效且安全的关键。最近关于基于数据驱动的交流最佳功率流问题解决方法的研究表明，与传统解算器相比，其潜在的速度提升巨大。然而，目前尚无大规模开放数据集可供该问题使用。我们提供了迄今最大规模的可用解决交流最佳功率流问题的收集。这一收集比现有的可用数据集大数个数量级，可用于训练高容量的数据驱动模型。独特之处在于它包括拓扑扰动 - 这是在实际电网操作中的一个关键要求。我们希望这一资源将推动社区将研究拓展到具有可变拓扑的更大网格规模。