Analysis of the Optimization Strategy Based on the Cooperation of Drones and Intelligent Robots for the Inspection of Substations

Abstract

With the continuous development of the power system, the operation environment and scale of the power grid substation are more complex. It will become an inevitable trend for automated detection methods to replace manual detection methods because of their intelligence and security. However, at present, the use of intelligent robot inspection substation technology is not very mature, there are visual blindness, long inspection cycle, poor inspection effect, and other problems. By the development trend of the substation, this paper proposes a high altitude, low altitude, and ground inspection strategy of a substation based on the cooperation of UAV and intelligent robots. This strategy uses the grid method to construct the two-dimensional planning of the substation and then optimizes the inspection path of UAV and intelligent robots based on the improved ant colony algorithm. The UAV and the intelligent robot cooperate to realize the real-time inspection of the substation, forming a three-dimensional inspection system of "low-mid-high", "dynamic + static". The simulation results show that the inspection strategy using UAVs and intelligent robots is safer and can effectively reduce inspection time.