distribution-network

#distribution-network

Physics-Informed Graph-Based Safe RL with Constraint-Specific Critics for Community Battery Coordination in Distribution Network

arXiv cs.AI ↗ · 2026-10-27 Cached

本文提出了一种物理信息图表示与约束专用评论家相结合的安全深度强化学习框架（LDCPPO），用于配电网中社区电池储能的协调控制，以缓解电压和线路越限问题并降低运行成本，实验显示关键电压违规程度最高降低80.5%。

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#distribution-network

Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification

arXiv cs.LG ↗ · 2026-09-04 Cached

This paper proposes a deep reinforcement learning framework for risk and anomaly identification in distribution networks, using uncertainty quantification to distinguish between inherent risks and out-of-distribution anomalies.

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distribution-network

Physics-Informed Graph-Based Safe RL with Constraint-Specific Critics for Community Battery Coordination in Distribution Network

Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty Quantification

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