Energy Trading of Multiple Virtual Power Plants Using Deep Reinforcement Learning
Author:
Affiliation:
1. Power Supply Bureau,Southern Power Grid Shenzhen,China
2. Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,China
3. Southern Power Grid Research Institute Co., Ltd,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9697403/9697404/09697585.pdf?arnumber=9697585
Reference21 articles.
1. Deep reinforcement learning for energy management in a microgrid with flexible demand
2. Residential Load Scheduling With Renewable Generation in the Smart Grid: A Reinforcement Learning Approach
3. Energy Trading Game for Microgrids Using Reinforcement Learning
4. Weak Grid Reactive Power Improvement and Voltage Control of MT-HVDC Grid using APF
5. Incentivizing Energy Trading for Interconnected Microgrids
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