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A survey on new trends of digital twin technology for power systems
- Source :
- Journal of Intelligent & Fuzzy Systems. 41:3873-3893
- Publication Year :
- 2021
- Publisher :
- IOS Press, 2021.
-
Abstract
- Recently, the Digital Twin (DT) technology, which joints the physical environment and virtual space, has drawn more attention in industry and research academic plans. In general, the virtual model representations of the physical objects are created in the DT manner to simulates the characteristics and behaviors of the real-word system. Applying a supervisory system not only can reduce the failures of components, but also preserve the overall costs associated with the system at a minimum. This paper reviews the DT applications in the power system, while its advantages in wind turbines, solar panels, power electronic converter, and shipboard electrical system will be briefly discussed. The potential benefits of contemporary technologies to ameliorate the DT in the industry are studied. Besides, it provides a great technique to assess and analyze system performance. As a basis for DT, various new emerging developments as an example of artificial intelligence (AI), big data, the internet of things (IoT), and 5 G are reviewed.
- Subjects :
- Statistics and Probability
0209 industrial biotechnology
Electric power system
020901 industrial engineering & automation
Artificial Intelligence
Computer science
business.industry
020208 electrical & electronic engineering
0202 electrical engineering, electronic engineering, information engineering
General Engineering
02 engineering and technology
Telecommunications
business
Subjects
Details
- ISSN :
- 18758967 and 10641246
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- Journal of Intelligent & Fuzzy Systems
- Accession number :
- edsair.doi...........b996b035b532f303587097fe9a6c93bb