Power System Flow Adjustment and Sample Generation Based on Deep Reinforcement Learning

Power System Flow Adjustment and Sample Generation Based on Deep Reinforcement Learning

With the increasing complexity of power system structures and the increasing penetration of renewable energy, the number of possible power system operation modes increases dramatically. It is difficult to make manual power flow adjustments to establish an initial convergent power flow that is suitab...

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Bibliographic Details
Main Authors:	Shuang Wu, Wei Hu, Zongxiang Lu, Yujia Gu, Bei Tian, Hongqiang Li
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	Journal of Modern Power Systems and Clean Energy
Subjects:	Deep reinforcement learning power flow adjustment system operation mode sample generation
Online Access:	https://ieeexplore.ieee.org/document/9275610/

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