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

Hongyan Dui, Songru Zhang, Xinghui Dong and Shaomin Wu

Reliability Engineering and System Safety, 2025, vol. 253, issue C

Abstract: 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 diagnosis, 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 aid to optimize opportunistic maintenance strategies when resources are limited. Finally, a wind-solar-storage microgrid is used to illustrate the proposed method. Experimental results show that the proposed method significantly reduces maintenance costs and improves system reliability, effectively supporting microgrid maintenance.

Keywords: Digital twin; Smart microgrid; Opportunistic maintenance; Importance measure (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006203

DOI: 10.1016/j.ress.2024.110548

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