Sequential recovery method and device for power system based on deep reinforcement learning

Abstract

The invention discloses a sequential recovery method and device for a power system based on deep reinforcement learning. The method comprises the following steps: constructing a power system recovery model which comprises a deep reinforcement learning Q value estimation network and a Target Q network, and training the power system recovery model. According to the invention, based on the power network after a cascade failure and through a bus recovery sequence obtained after deep reinforcement learning, the recovery capability of the power network system to the cascade failure in a system recovery process is evaluated, reinforcement learning is combined with the power network, and the recovery problem of the power network is considered from the perspective of defenders; and through combination with a neural network, the implementation range of the power network is expanded; that is, an optimal recovery strategy of a large power grid can be found.

Description

technical field [0001] The present application belongs to the technical field of power system cascading failure recovery, and in particular relates to a power system sequential recovery method and device based on deep reinforcement learning. Background technique [0002] The power grid is an important infrastructure of modern civilized society. The large-scale interconnection of power grids has become an inevitable trend in the development of power systems around the world. The safe operation of power grids has increasingly become an effective guarantee for the efficient operation of social and economic life. However, cascading faults and blackouts in the power grid pose challenges to the safe operation of the power grid. In a complex power grid, the initial local fault evolves into an avalanche cascading fault, which often leads to catastrophic consequences of large-scale collapse of the power grid. Due to the randomness and unpredictability of the fault process, the recov...

AI Technical Summary

Problems solved by technology

However, cascading faults and blackouts in the power grid pose challenges to the safe operation of the power grid.

In a complex power grid, the initial local fault evolves into an avalanche cascading fault, which often leads to catastrophic consequences of large-scale collapse of the power grid.

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