论文标题
电力网络操作的强化学习
Reinforcement Learning for Electricity Network Operation
论文作者
论文摘要
本文介绍了学习运行电力网络挑战所需的背景材料。挑战的重点是使用强化学习来训练代理商管理电网的实时操作，平衡功率流并进行干预以保持稳定性。我们提出了针对机器学习社区的电力系统的简介，以及针对Power Systems社区的强化学习介绍。这是为了使并鼓励更广泛地参与这两个社区之间的挑战和协作。
This paper presents the background material required for the Learning to Run Power Networks Challenge. The challenge is focused on using Reinforcement Learning to train an agent to manage the real-time operations of a power grid, balancing power flows and making interventions to maintain stability. We present an introduction to power systems targeted at the machine learning community and an introduction to reinforcement learning targeted at the power systems community. This is to enable and encourage broader participation in the challenge and collaboration between these two communities.
