Abstract:There are many kinds of equipment and high failure rate in distribution system. 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 optimizing the troubleshooting path when the failure of power distribution system occurs, this paper proposes a distribution equipment troubleshooting path planning model based on fault probability, which comprehensively considers the minimization of troubleshooting time and the priority of equipment with large failure probability to ensure the timeliness and accuracy of the troubleshooting work. Based on the classical traveling salesman problem and considering the difference of failure probability of different equipment, the solution method is optimized and improved, 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.