Data-driven voltage control method for high-proportion new energy distribution network

doi:10.1016/j.epsr.2026.113925

2026-08-07

PRE

DOI：10.1016/j.epsr.2026.113925

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摘要

En 中文

• 物理信息代理模型实现了与物理模型无关的多智能体强化学习。• 定向模块化划分保留了方向性电压耦合不对称性。• 双注意力通信处理部分可观测性和延迟问题。• 奖励引导信号可以提高多智能体强化学习的质量。

Keyword:

Voltage control

Active distribution network

Physics-model-independent

期刊

Electric Power Systems Research

IF:

4.2

论文数:

1.2W

被引数:

2.2W

机构

暂无机构信息

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