Low-Carbon Economic Dispatch of Electricity-Heat-Gas Integrated Energy Systems Based on Deep Reinforcement Learning

Low-Carbon Economic Dispatch of Electricity-Heat-Gas Integrated Energy Systems Based on Deep Reinforcement Learning

The optimal dispatch methods of integrated energy systems (IESs) currently struggle to address the uncertainties resulting from renewable energy generation and energy demand. Moreover, the increasing intensity of the greenhouse effect renders the reduction of IES carbon emissions a priority. To addr...

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Bibliographic Details
Main Authors: Yuxian Zhang, Yi Han, Deyang Liu, Xiao Dong
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Integrated energy system (IES)
carbon trading
optimal dispatch
deep reinforcement learning (DRL)
distributed proximal policy optimization
Online Access:https://ieeexplore.ieee.org/document/10113803/

Internet

https://ieeexplore.ieee.org/document/10113803/

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