Electric Distribution Network With Multi-Microgrids Management Using Surrogate-Assisted Deep Reinforcement Learning Optimization

Electric Distribution Network With Multi-Microgrids Management Using Surrogate-Assisted Deep Reinforcement Learning Optimization

Increased electric vehicle demand and uncertain electricity generation from solar photovoltaics lead to fluctuating and inefficient operation in the Distribution Network (DN). MicroGrids (MG) connecting to the DN with suitable energy trading is an effective way to solve this issue. However, proper e...

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Bibliographic Details
Main Authors: Niphon Kaewdornhan, Chitchai Srithapon, Rongrit Chatthaworn
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep neural network
deep reinforcement learning
electric vehicle
microgrid
optimal energy management
photovoltaics
Online Access:https://ieeexplore.ieee.org/document/9984640/

Internet

https://ieeexplore.ieee.org/document/9984640/

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