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- W3005655398 abstract "In order to cope with the incompatibility of traditional AGC control under CPS control performance standard, this paper proposes a hierarchical control framework based on DQN algorithm. It effectively solves the problem of dimensionality disaster of Q learning by using neural network instead of state action pair, and speed up the convergence. Through simulation verification, this method can effectively improve the system CPS control performance index and effectively reduce the system power generation cost." @default.
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- W3005655398 date "2020-02-10" @default.
- W3005655398 modified "2023-09-24" @default.
- W3005655398 title "An AGC dynamic control method based on DQN algorithm" @default.
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- W3005655398 doi "https://doi.org/10.1088/1757-899x/729/1/012009" @default.
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