Electric power system power flow analysis method and device based on graph network big data model

The invention provides an electric power system power flow analysis method and device based on a graph network big data model. The method comprises the following steps: generating a power grid topological structure, a node state and a line state of an electric power system based on an electric power system space-time generation model of a Poisson process; generating the power line aging degree of the power system based on the line aging degree estimation model; training the graph neural network model by taking the power grid topological structure, the node state, the line state and the aging degree of the power line as inputs and the node voltage and the node phase angle as outputs until the loss value of a loss function of the graph neural network model considering the Kirchhoff's current law converges to a target value; and acquiring a power grid topological structure, a node state and a line state of the target power system, and inputting the power grid topological structure, the node state and the line st