Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs.
Di CaoJunbo ZhaoWeihao HuFei DingQi HuangZhe ChenFrede BlaabjergPublished in: IEEE Trans. Smart Grid (2021)
Keyphrases
- multi agent
- data driven
- reinforcement learning
- control problems
- cooperative
- multi agent systems
- optimal control
- function approximation
- control system
- multi agent reinforcement learning
- single agent
- multi agent environments
- state space
- adaptive control
- reinforcement learning algorithms
- multiagent reinforcement learning
- multiagent systems
- autonomous agents
- control strategies
- learning agents
- traffic signal control
- robot control
- model free
- multiple agents
- electric field
- pwm rectifier
- formal verification
- autonomous robots
- control method
- robotic systems
- power system
- distributed systems
- mobile robot