A Study on the Evaluation Method for the Operating Status of Overhead Transmission Lines Based on Analytic Hierarchy Process ( AHP )
Open accessAbstract
To address the challenge of dynamically assessing overhead transmission lines under varying meteorological conditions through manual inspections and drone monitoring, this study proposes an evaluation method for the operating status of overhead transmission lines based on the Analytic Hierarchy Process (AHP). A mathematical model based on AHP is first established to perform weighted processing of five meteorological factors, generating a comprehensive meteorological dataset. A simulation model for the LGJ‐300/70 type conductor is then developed under the temperature field, where temperature distribution during operation is determined based on different meteorological data. Stress variations are observed, and evaluation criteria are established by calculating displacement deviations in the two‐dimensional transmission line model. The transmission line is considered to be in a normal operating state when the maximum displacement deviation is ≤ ±0.63 mm. This demonstrates that the AHP‐based evaluation method can effectively enable dynamic assessment of the operating status of overhead transmission lines.
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Publications [11,12,13,14,15,16,17,18,19,20] report the use of the AHP method to prioritize and optimize processes in several areas.
“Publications [11,12,13,14,15,16,17,18,19,20] report the use of the AHP method to prioritize and optimize processes in several areas.”
From Multicriteria Methodology for Prioritizing Predictive Maintenance Using RPASs (Drones) with Thermal Cameras on Transmission Lines (2025) · cites this paper as [20]
The authors of [18,19,20,21] apply AHP to transmission lines, mainly to defects; among these studies, [18,21] are most relevant to the search for prioritization and the establishment of criteria used for transmission lines.
“Finally, the authors of [18,19,20,21] apply AHP to transmission lines, mainly to defects; among these studies, [18,21] are most relevant to the search for prioritization and the establishment of criteria used for transmission lines.”
From Multicriteria Methodology for Prioritizing Predictive Maintenance Using RPASs (Drones) with Thermal Cameras on Transmission Lines (2025) · cites this paper as [20]
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Schnorr, A., Bernardon, D., Feil, D., Fabrin, F., Konrad, C., dos Santos, L. L. C., Bitencourt, V., Fontoura, H., & Correa, C. (2025) · Sensors · doi:10.3390/s25165064 · Cited by 1 · see citing works
- Authors
- Wang, Q., Wang, L., Tian, R., Cao, S., Zuo, S., Che, D., & Jing, L.
- Affiliations
- Shenyang Institute of Engineering (CN)
- State Grid Liaoning Electric Power Company (China) (CN)
- Corresponding author
- Wang, Liang
- Venue
- Engineering Reports
- Publisher
- Wiley
- Published
- 2025-01
- Volume
- 7
- Issue
- 1
- ISSN
- 2577-8196 (ISSN-L)
- OpenAlex
- W4406861133
- Cited by
- 5
- References
- 0
- Citations by year
- 2025: 5
- FWCI
- 1.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Engineering Reports (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Thermal Analysis in Power Transmission
- Physical Sciences › Engineering › Electrical and Electronic Engineering › High-Voltage Power Transmission Systems
- Physical Sciences › Engineering › Mechanical Engineering › Power Line Inspection Robots
- Keywords
- overhead transmission lines, analytic hierarchy process, weather conditions, conductor stress, drone monitoring, dynamic assessment
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