Day-Ahead Optimal Dispatch Strategy for Active Distribution Network Based on Improved Deep Reinforcement Learning

Day-Ahead Optimal Dispatch Strategy for Active Distribution Network Based on Improved Deep Reinforcement Learning

To effectively deal with the challenge of optimal dispatch caused by uncertainties such as renewable energy in active distribution network, a day-ahead optimal dispatch strategy for active distribution network based on improved deep reinforcement learning is proposed. First, the day-ahead optimal di...

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Bibliographic Details
Main Authors: Xiaoyu Li, Xueshan Han, Ming Yang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Active distribution network
multistage stochastic programming
optimal dispatch
data driven
deep learning
deep reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9676620/

Internet

https://ieeexplore.ieee.org/document/9676620/

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