One of the most important key parameters in power network operation is power frequency. The power network will be affected by various disturbances in operation, and the frequency of the power network will show different fluctuations under different disturbances. Once the frequency of the power network deviates from the normal operation level, the power quality of the power network will decrease, and the power equipment will be in an abnormal operation state. With the development of power network, the scale of distributed microgrid with high uncertainty such as new energy is expanding increasingly, the proportion of UHVDC transmission lines is increasing, and the structure of power network is changing, which makes the regulation of power network frequency facing greater challenges. In this paper, relying on the mechanism of integrated load of power network and the participation of generator set in primary frequency modulation, the primary frequency modulation capability of 60 s power network under different frequency disturbance conditions is analysed, and the training and simulation prediction of GRNN generalized regression neural network prediction model are completed by using MATLAB software. By predicting of the generator set under different disturbances, the parameters related to the primary frequency modulation capability of the power network, such as the maximum amplitude of the active power fluctuation, the time when the maximum amplitude occurs and the time when the power network is restored to stability, are obtained to provide more accurate dispatching support for the dispatching side.
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