Safe multi-agent deep reinforcement learning for real-time decentralized control of inverter based renewable energy resources considering communication delay-Reference-Cited by-同舟云学术

Safe multi-agent deep reinforcement learning for real-time decentralized control of inverter based renewable energy resources considering communication delay

Published:2023-11 Issue: Volume:349 Page:121648
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Guo Guodong,Zhang Mengfan,Gong Yanfeng,Xu Qianwen

Funder

C3.ai Digital Transformation Institute

VINNOVA

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference32 articles.

1. Model-augmented safe reinforcement learning for volt-VAR control in power distribution networks[J];Gao;Appl Energy,2022

2. A graph policy network approach for volt-var control in power distribution systems[J];Lee;Appl Energy,2022

3. Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning[J];Cao;Appl Energy,2022

4. 1547 Standard for Interconnecting Distributed Resources with Electric Power Systems;IEEE,2022

5. Multi-objective adaptive robust voltage/VAR control for high-PV penetrated distribution networks[J];Zhang;IEEE Trans Smart Grid,2020

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Privacy-preserving multi-level co-regulation of VPPs via hierarchical safe deep reinforcement learning;Applied Energy;2024-10

2. Advancements in data-driven voltage control in active distribution networks: A Comprehensive review;Results in Engineering;2024-09

3. A Novel MADRL With Spatial-Temporal Pattern Capturing Ability for Robust Decentralized Control of Multiple Microgrids Under Anomalous Measurements;IEEE Transactions on Sustainable Energy;2024-07

4. Weighted Average Ensemble-Based PV Forecasting in a Limited Environment with Missing Data of PV Power;Sustainability;2024-05-13

5. Hydrogen-electricity coupling energy storage systems: Models, applications, and deep reinforcement learning algorithms;Clean Energy Science and Technology;2024-03-05