Adaptive Power System Emergency Control Using Deep Reinforcement Learning

Qiuhua Huang
Qiuhua Huang
Weituo Hao
Weituo Hao

IEEE Transactions on Smart Grid, pp. 1171-1182, 2020.

Cited by: 0|Bibtex|Views24|DOI:https://doi.org/10.1109/TSG.2019.2933191
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Power system emergency control is generally regarded as the last safety net for grid security and resiliency. Existing emergency control schemes are usually designed off-line based on either the conceived “worst” case scenario or a few typical operation scenarios. These schemes are facing significant adaptiveness and robustness issues as ...More

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