Research on Distributed Energy Management and Optimization of Active Distribution Network Based on Deep Learning
This paper proposes a deep learning method based on graph neural network models,aiming to achieve distributed energy management and optimization in active distribution networks.This model considers power and load devices as nodes in the graph,and the power flow path as edges of the graph,thus fully mining and utilizing the complex structural information of the power grid.The results show that the method proposed in this paper exhibits significant advantages in indicators such as energy loss,constraint satisfaction rate,stability,and calculation time,providing new ideas for future intelligent management of power grids.
graph neural networkactive distribution networkdeep learning method
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