基于故障概率的配电设备排查路径规划

Path planning of power distribution equipment troubleshooting based on failure probability

配电系统设备种类繁多,故障概率较高,且作为直接面向用户的电网层级,发生故障对电力用户影响最大。然而,在配电系统实际故障发生时,故障点往往难以准确定位,仅被限定在某一区域内,且不同设备间故障概率存在差异,为故障排查工作带来了不小的困难。为解决配电系统故障情况下排查路径最优化的问题,保证排查工作的及时性和准确性,本文综合考虑排查时间的最小化以及大故障概率设备的优先性,以经典的旅行商问题为基础,考虑不同设备故障概率的差异,对求解方法作出优化改进,建立了基于故障概率的配电设备排查路径规划模型,并选择遗传算法对模型进行求解。最后,以某配电系统为例对设备排查路径进行规划,验证了模型及算法的有效性和实用性。

The power distribution system has a wide variety of equipment,and the failure probability is high.As a grid level directly facing users,its failure has the greatest impact on power users.However,when the actual fault of distribution system occurs,the fault point is often difficult to accurately locate,and is only limited to a certain area,and the probability of equipment failure is different,which brings a lot of difficulties for the troubleshooting work.In order to solve the problem of the optimization of the route of the fault location in the distribution system and to ensure the timeliness and accuracy of the fault location,this paper considers the minimization of the time of the fault location and the priority of the equipment with large fault probability,based on the classical travelling salesman problem,considering the difference of the failure probability of different equipment,the method of solving the problem is optimized and improved,In order to solve the problem of optimizing the troubleshooting path when the failure of power distribution system occurs,then the distribution equipment troubleshooting path planning model based on failure probability is established,and the genetic algorithm is chosen to solve the model.Finally,the effectiveness and practicability of the model and its algorithm are verified by the planning of troubleshooting routing for a distribution system as an example.