Damage Probability Assessment of Transmission Line-Tower System Under Typhoon Disaster, Based on Model-Driven and Data-Driven Views Article Swipe
Hui Hou
,
Hao Geng
,
Yong Huang
,
Hao Wu
,
Xixiu Wu
,
Shiwen Yu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/en12081447
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/en12081447
Under the typhoon disaster, the power grid often has serious accidents caused by falling power towers and breaking lines. It is of great significance to analyze and predict the damage probability of a transmission line-tower system for disaster prevention and reduction. However, some problems existing in current models, such as complicated calculation, few factors, and so on, affect the accuracy of the prediction. Therefore, a damage probability assessment method of a transmission line-tower system under a typhoon disaster is proposed. Firstly, considering the actual wind load and the design wind load, physical models for calculating the damage probability of the transmission line and power tower are established, respectively based on model-driven thought. Then, the damage probability of the transmission line-tower system is obtained, combining the transmission line and power tower damage probability. Secondly, in order to improve prediction accuracy, this paper analyzes the historical sample data containing multiple influencing factors, such as geographic information, meteorological information, and power grid information, and then obtains the correction coefficient based on data-driven thought. Thirdly, the comprehensive damage probability of the transmission line-tower system is calculated considering the results of model-driven and data-driven thought. Ultimately, the proposed method is verified to be effective, taking typhoon ‘Mangkhut’ in 2018 as a case study.
Related Topics
Concepts
Typhoon
Tower
Electric power transmission
Transmission line
Transmission tower
Wind speed
Computer science
Reliability engineering
Wind engineering
Electric power system
Power transmission
Transmission (telecommunications)
Line (geometry)
Wind power
Power (physics)
Simulation
Meteorology
Engineering
Structural engineering
Mathematics
Telecommunications
Geography
Electrical engineering
Physics
Quantum mechanics
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en12081447
- https://www.mdpi.com/1996-1073/12/8/1447/pdf?version=1555398762
- OA Status
- gold
- Cited By
- 30
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2940207912
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2940207912Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en12081447Digital Object Identifier
- Title
-
Damage Probability Assessment of Transmission Line-Tower System Under Typhoon Disaster, Based on Model-Driven and Data-Driven ViewsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-04-16Full publication date if available
- Authors
-
Hui Hou, Hao Geng, Yong Huang, Hao Wu, Xixiu Wu, Shiwen YuList of authors in order
- Landing page
-
https://doi.org/10.3390/en12081447Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/12/8/1447/pdf?version=1555398762Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1073/12/8/1447/pdf?version=1555398762Direct OA link when available
- Concepts
-
Typhoon, Tower, Electric power transmission, Transmission line, Transmission tower, Wind speed, Computer science, Reliability engineering, Wind engineering, Electric power system, Power transmission, Transmission (telecommunications), Line (geometry), Wind power, Power (physics), Simulation, Meteorology, Engineering, Structural engineering, Mathematics, Telecommunications, Geography, Electrical engineering, Physics, Quantum mechanics, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
30Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 6, 2023: 6, 2022: 7, 2021: 7Per-year citation counts (last 5 years)
- References (count)
-
22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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