Simulation of spatio-temporal lightning distribution characteristics of wind farm station based on spatio-temporal interpolation method and Bayesian network

The conventional simulation analysis method for the lightning distribution characteristics of wind farms mainly uses the moment method to calculate the lightning distribution parameters, which is easily affected by the dynamic changes of a lightning waveform, resulting in a significant deviation between the simulated current amplitude and the actual current amplitude. Therefore, it is necessary to design a new method for simulating and analyzing the lightning distribution characteristics of wind farms based on spatiotemporal interpolation and Bayesian networks. Based on the spatiotemporal interpolation method, a lightning transient feature model for wind farm sites was constructed, and the simulation parameters of lightning distribution characteristics at wind farm sites were calculated using Bayesian networks. The example analysis results show that the deviation between the current amplitude and the actual current amplitude is small, which proves that the designed simulation analysis method has good analysis results, reliability, and application value, making a certain contribution to improving the operational safety of wind farms.