Intelligent Inspection Path Planning for Digital Twin Converter Station

Substations are important hubs for the operation of power grids. In the rapid development of power grid technology, high-tech applications such as the Internet of Things, big data, and digital twin technology have been widely used in the operation and maintenance of power networks. To address the time-consuming and labor-intensive drawbacks of traditional maintenance methods for substations, digital twin technology combines actual substation equipment with virtual digital twin models to achieve comprehensive monitoring and data analysis of substation equipment. The core of intelligent inspection in digital twin substations is path planning technology [10]. Optimizing the inspection path can effectively improve inspection efficiency and reduce manual costs to a certain extent. To address the drawbacks of long search time and lengthy planned paths in the traditional A* algorithm, optimizing the search neighborhood by using the combination of double neighborhood search in a “#” pattern can further improve search time and inspection paths.