The live working paths for equipotential operators in the hanging basket method is determined by minimum safety values of various clearances stipulated in regulations. However, the optimization of the safety path planning by the complex gaps is scarce. In this paper, an optimization method for pathplanning is proposed based on ant colony algorithm. Grid model is established to partition the operation area into different calculation districts, in which key parameters are grid data and obstacle grids. Grid data are the maximum value of the electric field strength on the body surface, calculated by the finite element model. And obstacle grids are grids that dissatisfy the requirements of complex gaps and their data are larger than the air breakdown field strength. Then ant colony algorithm is employed to search for the best operation path with the minimum working distance and the minimum electric field strength value. After that, an application case is illustrated to demonstrate the optimizing processes. At last, the shock U50 test and power frequency corona discharge test are implemented to verify the safety of the optimized path. Therefore, the path obtained by the proposed method scientifically and effectively shortens the distance of the hanging basket method.

中文翻译：

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基于网格蚁群算法的特高压带电吊篮路径规划

吊篮法中等电位操作人员的带电作业路径由法规中规定的各种间隙的最小安全值确定。但是，通过复杂的缺口来优化安全路径计划的工作却很少。本文提出了一种基于蚁群算法的路径规划优化方法。建立网格模型，将操作区域划​​分为不同的计算区域，其中关键参数为网格数据和障碍物网格。网格数据是通过有限元模型计算的身体表面电场强度的最大值。障碍栅格是不满足复杂间隙要求的栅格，其数据大于空气击穿场强。然后采用蚁群算法搜索具有最小工作距离和最小电场强度值的最佳操作路径。之后，以一个应用案例为例说明优化过程。最后，进行了冲击U50测试和工频电晕放电测试，以验证优化路径的安全性。因此，所提方法所获得的路径科学有效地缩短了吊篮法的距离。