An unmanned aerial vehicle path planning method under consideration of transmission line state assessment

As an important tool for current electric power patrol, UAVs show intelligence instead of traditional human patrol. In this paper, for the problem of patrol planning for transmission line towers, considering the risk factors of UAV patrol in post-disaster environments, a multi-featured risk estimation is carried out, and a multi-objective optimization model under time and risk conditions is established. Secondly, for this problem model, an improved genetic algorithm based on elite guidance (EGIGA) is used for optimization, which adopts strategies such as partial elite crossover and adaptive mutation to accelerate the convergence performance of the algorithm. Finally, the feasibility and effectiveness of the method in this paper are verified through example simulation and algorithm comparison.