Construction and Application of Digital Twin Model of Hydropower Plant Based on Data-driven

The digital twin model of hydropower plants is designed to make full use of the massive data information of the new power system, to describe the people, events, things and their relationships in the power system in a digital way, and to provide hydropower companies with effective massive data fusio...

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Bibliographic Details
Published in2021 3rd International Workshop on Artificial Intelligence and Education (WAIE) pp. 60 - 64
Main Authors Zhao, Zengtao, Li, Dinglin, She, Jun, Zhang, Hao, Zhou, Yupeng, Zhao, Lei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2021
Subjects
Data models
data-driven
Digital transformation
Digital twin
digital twin model
Education
Fault diagnosis
Hydroelectric power generation
hydropower plant
Power industry
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Summary:The digital twin model of hydropower plants is designed to make full use of the massive data information of the new power system, to describe the people, events, things and their relationships in the power system in a digital way, and to provide hydropower companies with effective massive data fusion and mining capabilities. With the development of big data and artificial intelligence technology, digital twin technology is gradually becoming one of the core driving forces to promote the digital transformation of the power industry. The paper expounds the representation method of the digital twin model of hydropower plants, and proposes a data-driven model construction and application framework for the complexity and nonlinear characteristics of the power system. Finally, the effectiveness of the method in this paper is verified by a case of fault diagnosis in hydropower plants.
DOI:10.1109/WAIE54146.2021.00020