Pollution Flashover Pre-warning Method Based on Beluga Whale Optimization Algorithm

The problem of pollution flashover of transmission lines seriously interferes with the safety and stability of the power grid system, and insulators occur pollution flashover has a close connection with meteorological conditions. In order to prevent pollution flashover disasters, a pollution flashover pre-warning model considering meteorological data is constructed, and a pre-warning method of the risk of pollution flashover based on the beluga optimization algorithm is proposed. Firstly, the meteorological characteristic quantities are screened according to the fouling mechanism; secondly, the risk assessment model of pollution flashover disaster of transmission lines is constructed based on the meteorological parameters; then, the parameters of the pollution flashover pre-warning model are optimized by the beluga optimization algorithm; finally, an example analysis of line pollution flashover is carried out to verify the effectiveness of the proposed method. The results of the study can provide technical references for power grid anti-pollution flashover work.