Smart generation control based on deep reinforcement learning with the ability of action self-optimization

@inproceedings{Xi2018SmartGC,
  title={Smart generation control based on deep reinforcement learning with the ability of action self-optimization},
  author={Lei Xi and Jianfeng Chen and Yuehua Huang and Tianliang Xue and Tao Zhang and Yunning Zhang},
  year={2018}
}
Random disturbance or noise caused by the large-scale integration of new energy and distributed energy affects the safe and economical operation of the interconnected power grids. This study aims to propose DDRQN-AD, which was based on action self-optimization. In comparison with the traditional centralized automatic generation control systems, DDRQN-AD identified the optimal strategies easily and addressed the stochastic disturbance caused by the extensive integration of new energy and… CONTINUE READING

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