Digital twin-enhanced opportunistic maintenance of smart microgrids based on the risk-importance measure

Smart microgrids face more diverse and frequent risks than traditional grids due to their complexity and reliance on distributed generation. Ensuring the reliable operation of smart microgrids requires effective maintenance. Traditional maintenance methods, based on periodic inspections and fault response, struggle to adapt to the dynamics and complexity of microgrid systems. The introduction of digital twin technology provides a new solution for the opportunistic maintenance of microgrid systems. This paper presents a digital twin microgrid architecture for real-time monitoring and decision-making in opportunistic maintenance. Meanwhile, this paper introduces a risk-importance measure to optimize opportunistic strategies with limited resources. Finally, a wind-solar-storage microgrid is used to demonstrate the proposed method. Experimental results show that the method significantly reduces maintenance costs and improves reliability, effectively supporting microgrid maintenance.