Multi-Agent Deep Reinforcement Learning for Voltage Control With Coordinated Active and Reactive Power Optimization.
Daner HuZhenhui YeYuanqi GaoZuzhao YeYonggang PengNanpeng YuPublished in: IEEE Trans. Smart Grid (2022)
Keyphrases
- multi agent
- reinforcement learning
- power system
- reactive power optimization
- optimal control
- multi agent systems
- cooperative
- control policy
- control system
- control strategies
- active control
- reactive power
- optimal policy
- multi agent environments
- computational intelligence
- multiple agents
- neural network
- optimal power flow
- multiagent reinforcement learning
- machine learning
- search algorithm