CUI Zhaolun, GUO Manting, YE Yongqin, et al. Development Trend, Evaluation System and Prospect Outlook of Digital Twin Operation and Maintenance Technology for Electric Power Equipment[J]. 2025, 51(5): 2285-2299.
CUI Zhaolun, GUO Manting, YE Yongqin, et al. Development Trend, Evaluation System and Prospect Outlook of Digital Twin Operation and Maintenance Technology for Electric Power Equipment[J]. 2025, 51(5): 2285-2299. DOI: 10.13336/j.1003-6520.hve.20240801.
Digital twin has become an important medium for digital-intelligent updating of electrical equipment in our country due to its powerful data integration
analysis and interaction characteristics. In this review
the architectural compositions of the digital twin operation and maintenance (O & M) systems for the power generation side
substation side
and transmission and distribution side are sorted out. The key equipment and supporting technologies for each level are analyzed in terms of the layers of perception and interaction
the data processing
the modeling and simulation
and the function and application. The development potentials of the digital twin technology combining with other intelligence technologies to realize the O & M applications are also discussed. According to the operation and maintenance characteristics of power equipment and the application requirements of digital twins
we proposed a five-dimensional assessment architecture and quantitative evaluation scheme. Finally
by reviewing the national and industrial policies on guiding the current digital twin applications
we made a discussion on their critical challenges and development suggestions in terms of the combination of the fundamental O & M technologies