This invention discloses a
hybrid prediction method for the
lightning strike probability of offshore wind turbines: 1. Constructing a parameterized static potential and
electric field background
library; 2. Setting up an n-level virtual envelope surface, with a sparse
electrode grid on the outermost layer to solve the electrostatic field and construct the background
library, obtaining the virtual attachment points of the next-level envelope surface as new electrodes, and repeating the solution and path prediction step by step; 3. Starting from the nth-level
electrode grid point, using a
path search with decreasing potential constraints and end-point
field strength rewards, obtaining the attachment points of the next-level
virtual surface in the region formed by the virtual envelope surface, and recording the path points between the start and end points as the leading development path; 4. Weighted fusion of multiple
simulation results from each starting point of the multi-
electrode grid to form a
lightning strike probability distribution cloud map. This invention also discloses a
hybrid prediction system for the
lightning strike probability of offshore wind turbines. The
hybrid prediction method for the
lightning strike probability of offshore wind turbines in this invention solves the problems of excessive computation and long time consumption of fractal methods, achieving a balance between high accuracy and high efficiency.