标题： 深度学习方法在电力系统监测与优化中的应用 显示英文标题

标题： Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems

摘要： 这篇博士论文全面考察了深度学习技术的运用，作为一种提升用于电力系统监测和优化的算法的方法。 本论文的主要贡献之一是将图神经网络应用于增强电力系统状态估计。 本论文的第二个关键方面是利用强化学习进行动态配电网络重构。 所提出的方法的有效性通过大量实验和仿真得到了证实。 显示英文摘要

摘要： This PhD thesis thoroughly examines the utilization of deep learning techniques as a means to advance the algorithms employed in the monitoring and optimization of electric power systems. The first major contribution of this thesis involves the application of graph neural networks to enhance power system state estimation. The second key aspect of this thesis focuses on utilizing reinforcement learning for dynamic distribution network reconfiguration. The effectiveness of the proposed methods is affirmed through extensive experimentation and simulations.