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- W4361763735 abstract "Aiming at the problems of large influence range, complex wiring mode, difficult to generate operation scheme quickly and unable to accurately evaluate the implementation effect of the scheme in the main distribution integrated power grid, a method of automatic generation of operation scheme in the main distribution integrated power grid through reinforcement learning is proposed. By establishing the evaluation system of different dimensional factors of power grid security level, and using analytic hierarchy process to confirm the weight coefficient of each dimensional factor, establish the return function in the process of reinforcement learning, complete the generation of various post fault operation schemes in the main distribution integrated power grid through reinforcement learning, and automatically prune the learning process through expert experience and management regulations. The results show that applying reinforcement learning to the automatic generation process of power grid operation scheme can quickly find the optimal operation scheme, which is conducive to ensuring the safe and stable operation of power grid." @default.
- W4361763735 created "2023-04-04" @default.
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- W4361763735 date "2023-01-01" @default.
- W4361763735 modified "2023-09-27" @default.
- W4361763735 title "The Application of Reinforcement Learning in the Generation Process of Power Grid Failure Plan" @default.
- W4361763735 doi "https://doi.org/10.1007/978-981-99-0357-3_9" @default.
- W4361763735 hasPublicationYear "2023" @default.
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