Adaptive Power System Emergency Control Using Deep Reinforcement Learning
IEEE Transactions on Smart Grid, pp. 1171-1182, 2020.
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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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