Research on Application of Edge Calculation in Power Grid State Prediction

With the gradual expansion of modern power grid scale, all sectors of society have gradually put forward higher requirements for power grid status. Under this background, the electric power field has gradually adopted various methods to evaluate the power grid status, so as to accurately judge whether there is any problem in the power grid and provide support for the safe and stable operation of the power grid. Among them, edge calculation is a better evaluation method. Based on this, this paper builds a BP neural network model optimized by genetic algorithm with edge calculation as the core, and verifies the application effect of this model through practical case analysis. Through practical analysis, it can be found that the prediction result of this model is more accurate and accurate, which is basically the same as the actual situation of power grid, and it can be applied to practice.