Multi-Agent Reinforcement Learning for Distribution System Critical Load Restoration
Author:
Affiliation:
1. National Renewable Energy Laboratory,Golden,CO,U.S.A
Funder
National Renewable Energy Laboratory
U.S. Department of Energy
Office of Energy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252165/10252088/10252887.pdf?arnumber=10252887
Reference9 articles.
1. Hierarchical Distribution System Adaptive Restoration With Diverse Distributed Energy Resources
2. A Fast and Scalable Genetic Algorithm-Based Approach for Planning of Microgrids in Distribution Networks
3. Multi-agent actor-critic for mixed cooperative-competitive environments;ryan;Advances in Neural Information Processing Systems (NIPS),2017
4. Integration of Preventive and Emergency Responses for Power Grid Resilience Enhancement
5. A Full Decentralized Multi-Agent Service Restoration for Distribution Network With DGs
Cited by 1 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. A multi-agent reinforcement learning method for distribution system restoration considering dynamic network reconfiguration;Applied Energy;2024-10
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