标题： 数字孪生赋能的电力系统电压控制 显示英文标题

标题： Digital Twin-Empowered Voltage Control for Power Systems

摘要： 新兴的数字孪生技术有潜力彻底改变电力系统的电压控制。 然而，当前的数字孪生方法在计算和采样效率方面存在不足，这限制了其应用。 为了解决这个问题，我们提出了一种Gumbel-一致性数字孪生（GC-DT）方法，通过提高计算和采样效率来增强电压控制。 首先，所提出的方法结合了一种基于Gumbel的策略改进，利用Gumbel-top技巧来增强非重复采样动作，并减少对蒙特卡洛树搜索模拟的依赖，从而提高计算效率。 其次，一致性损失函数将预测的隐藏状态与潜在空间中的实际隐藏状态对齐，从而提高预测准确性和采样效率。 在IEEE 123节点、34节点和13节点系统上的实验表明，所提出的GC-DT在计算和采样效率方面均优于最先进的DT方法。 显示英文摘要

摘要： Emerging digital twin technology has the potential to revolutionize voltage control in power systems. However, the state-of-the-art digital twin method suffers from low computational and sampling efficiency, which hinders its applications. To address this issue, we propose a Gumbel-Consistency Digital Twin (GC-DT) method that enhances voltage control with improved computational and sampling efficiency. First, the proposed method incorporates a Gumbel-based strategy improvement that leverages the Gumbel-top trick to enhance non-repetitive sampling actions and reduce the reliance on Monte Carlo Tree Search simulations, thereby improving computational efficiency. Second, a consistency loss function aligns predicted hidden states with actual hidden states in the latent space, which increases both prediction accuracy and sampling efficiency. Experiments on IEEE 123-bus, 34-bus, and 13-bus systems demonstrate that the proposed GC-DT outperforms the state-of-the-art DT method in both computational and sampling efficiency.