Jan 29, 2021 · This paper presents a novel hierarchical deep reinforcement learning (DRL) based design for the voltage control of power grids.
Jan 29, 2021 · Abstract—This paper presents a novel hierarchical deep rein- forcement learning (DRL) based design for the voltage control of power grids.
Feb 2, 2021 · This paper presents a novel hierarchical deep reinforcement learning (DRL) based design for the voltage control of power grids.
Jan 29, 2021 · This paper uses the area-wise division structure of the power system to propose a hierarchical DRL design that can be scaled to the larger ...
2022. Scalable voltage control using structure-driven hierarchical deep reinforcement learning. S Mukherjee, R Huang, Q Huang, TL Vu, T Yin. arXiv preprint ...
This paper delves into designing stabilizing feedback control gains for continuous linear systems with unknown state matrix, in which the control is subject to ...
This paper presents a novel hierarchical deep reinforcement learning (DRL) based design for the voltage control of power grids.
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... Control Strategies via Model-based Deep Reinforcement Learning ... Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning.
In this article, we focus on providing a scalable data-driven approach to ensure the voltage security of ADNs with high penetration of PVs. To this end, we ...
Missing: Structure- Hierarchical
An accelerated DRL algorithm named PARS was developed and tailored for power system voltage stability control via load shedding that features high ...