随着输电线路巡检方式逐渐从人工巡检转变成立体巡检+集中监控,停机点的选址成为影响电力巡检运营总成本及工作效率的关键因素.基于粒子群优化算法联合Voronoi图建立了直升机电力巡检临时停机点目标规划模型,并以华东某片区两个枢纽基地为例进行模拟仿真.结果表明:基于改进粒子群与Voronoi图的临时停机点选址模型的目标总成本相较于基础粒子群算法模型下降了 29.3%,改进效果显著.
With the change of transmission line inspection mode from manual inspection to three-di-mensional inspection+centralized monitoring,the location of the stop point has become a key factor af-fecting the total operating cost and work efficiency of power inspection.Based on particle swarm optimi-zation algorithm and Voronoi diagram,the objective planning model of temporary stop point of helicopter power inspection is established in the paper,and two hub bases in East China are taken as examples for simulation.The results show that based on improved particle swarm optimization and Voronoi diagram,the total target cost of the temporary stop location model is reduced by 29.3%compared with the basic particle swarm optimization model,and the improvement effect is significant.