Low-Carbon Economic Dispatch for Integrated Energy System Based on Multi-Agent Reinforcement Learning-Reference-Cited by-同舟云学术

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Low-Carbon Economic Dispatch for Integrated Energy System Based on Multi-Agent Reinforcement Learning

Published:2023-11-24 Issue: Volume:47 Page:76-80
ISSN:
Container-title:2023 3rd International Conference on New Energy and Power Engineering (ICNEPE)
language:
Short-container-title:

Author:

Ding Sheng¹,Liu Jiyan²,Shi Liguo³,Wang Xi¹,Liu Zheng¹

Affiliation:

1. State Grid Electric Power Research Institute Wuhan Energy Efficiency Evaluation Limited Company,Wuhan,China

2. State Grid Shandong Electric Power Company,Jinan,China

3. State Grid Shandong Electric Power Company Qingdao Power Supply Company,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428934/10429048/10429090.pdf?arnumber=10429090

Reference11 articles.

1. Stochastic optimal dispatching strategy of electricity-hydrogen-gas-heat integrated energy system based on improved spectral clustering method

2. Distributionally Robust Resilient Operation of Integrated Energy Systems Using Moment and Wasserstein Metric for Contingencies

3. Optimal Planning for Electricity-Hydrogen Integrated Energy System Considering Power to Hydrogen and Heat and Seasonal Storage

4. Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading

5. Low-carbon economic dispatch of integrated energy system containing electric hydrogen production based on VMD-GRU short-term wind power prediction

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