Double optimization model of UAV grid layer inspection based on multi-objective particle swarm algorithm

摘要

Taking maximum power grid repair profit and minimum maintenance cost as a target, established the relationship between failure rate and maintenance on the power line, constructed the model of multiobjective bi-level optimization used UAV to inspect the power lines, and turn the traditional solution method which make multi objectives into single objective to improved the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm, obtain solution set of bi-level optimization model which based on economic and reliable, optimized convergence process. Using value of line risk value and repair costs to determine the range and order of inspection in UAV way, provide auxiliary scientific decision for maintenance personnel.