• Corpus ID: 244488356

Reinforcement Learning for Volt-Var Control: A Novel Two-stage Progressive Training Strategy

@article{Zhang2021ReinforcementLF,
  title={Reinforcement Learning for Volt-Var Control: A Novel Two-stage Progressive Training Strategy},
  author={Si Zhang and Mingzhi Zhang and Rongxing Hu and David Lubkeman and Yunan Liu and Ning Lu},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.11987}
}
This paper develops a reinforcement learning (RL) approach to solve a cooperative, multi-agent Volt-Var Control (VVC) problem for high solar penetration distribution systems. The ingenuity of our RL method lies in a novel two-stage progressive training strategy that can effectively improve training speed and convergence of the machine learning algorithm. In Stage 1 (individual training), while holding all the other agents inactive, we separately train each agent to obtain its own optimal VVC… 

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