Research on fault self-healing architecture of HarmonyOS hybrid system driven by digital twin

Abstract With the rapid development of smart grids, the complexity and scale of power grid systems continue to increase, and traditional fault detection and repair methods have made it difficult to meet the high-reliability needs of modern power grids. This paper proposes a fault self-healing architecture for the Hongmeng-Grid hybrid system based on digital twin technology. This architecture realizes real-time monitoring, fault prediction and self-healing control of the power grid system through digital twin technology, significantly improving the operating efficiency and safety of the power grid. In the experimental part, we construct a large-scale power grid simulation model containing 100 nodes and introduce HarmonyOS as the control core. The effectiveness of the proposed architecture is verified by simulating different types of fault scenarios, including short circuits, overloads, equipment ageing, etc. The experimental results show that in the short-circuit fault scenario, the average fault detection time of the system is shortened from the traditional 5 min to 1.2 min, the fault repair time is reduced from 30 min to 5 min, and the overall fault handling efficiency is improved by 83%. In the equipment ageing failure scenario, the prediction accuracy rate of the system reaches 95%, effectively avoiding the chain reaction caused by equipment failure. Compared with the traditional power grid system without digital twin technology, it is found that the architecture proposed in this paper reduces the frequency of faults by 40% and significantly improves the system stability. This study not only provides a new solution for fault self-healing of smart grids but also lays a solid foundation for the intelligent development of power grids in the future.