Black-start overvoltage prediction method and system based on weight distribution correlation coefficient

The invention belongs to the technical field of black-start overvoltage prediction, and particularly provides a black-start overvoltage prediction method and system based on weight distribution correlation coefficients, and the method comprises the steps: obtaining the switching-on overvoltage and various voltage influence parameters of a no-load line in the black-start process of a power grid; calculating a first correlation coefficient set and a second correlation coefficient set by using the Pearson correlation coefficient and the cosine similarity; obtaining an overvoltage predicted value set by using a recurrent neural network model, and obtaining a target correlation coefficient set based on the closing overvoltage, the overvoltage predicted value set and the two correlation coefficient sets by using a weight distribution correlation coefficient method; obtaining an optimal weight and an optimal threshold value of each neuron in the neural network model by adopting an improved whale algorithm so as to o