Research on the multi-timescale optimal voltage control method for distribution network based on a DQN-DDPG algorithm

Research on the multi-timescale optimal voltage control method for distribution network based on a DQN-DDPG algorithm

A large number of distributed generators (GDs) such as photovoltaic panels (PVs) and energy storage (ES) systems are connected to distribution networks (DNs), and these high permeability GDs can cause voltage over-limit problems. Utilizing new developments in deep reinforcement learning, this paper...

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Bibliographic Details
Main Authors: Ming Ma, Wanlin Du, Ling Wang, Cangbi Ding, Siqi Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Energy Research
Subjects:
distributed photovoltaic
deep reinforcement learning
voltage control
multi-timescale
distribution network
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1097319/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.1097319/full

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