Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Power Grid Cascading Failure Mitigation by Reinforcement Learning   This paper proposes a cascading failure mitigation strategy based on
Reinforcement Learning (RL). The motivation of the Multi-Stage Cascading
Failure (MSCF) problem and its connection with the challenge of climate change
are introduced. The bottom-level corrective control of the MCSF problem is
formulated based on DCOPF (Direct Current Optimal Power Flow). Then, to
mitigate the MSCF issue by a high-level RL-based strategy, physics-informed
reward, action, and state are devised. Besides, both shallow and deep neural
network architectures are tested. Experiments on the IEEE 118-bus system by the
proposed mitigation strategy demonstrate a promising performance in reducing
system collapses.

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The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
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The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
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The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
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The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
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The categories of this paper are: eess
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The categories of this paper are: solv-int
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: nucl-th
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The categories of this paper are: stat