Importance Evaluation of Power Grid Transmission Lines Based on Multidimensional Information Feature Mapping

Keji Chen, Yingqi Tie () and Maohua Li
Additional contact information
Keji Chen: State Grid Zhejiang Electric Power Economic and Technological Research Institute, Hangzhou 310053, China
Yingqi Tie: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
Maohua Li: China Electric Power Research Institute, Beijing 100192, China

Energies, 2024, vol. 17, issue 23, 1-27

Abstract: The importance evaluation of power grid transmission lines is crucial for preventing catastrophic grid failures, enhancing grid resilience, and ensuring the safe and stable operation of the power system. To address the limitations in existing transmission line evaluation methods, such as reliance on single evaluation metrics, insufficient consideration of information transmission between adjacent lines, and the impact of line failures on system load loss, this paper proposes a comprehensive evaluation method based on multidimensional information feature mapping. First, evaluation metrics are established from three dimensions—power transmission characteristics, grid network structure, and resilience improvement—each reflecting the importance of transmission lines from different perspectives. Then, a hybrid weighting method is introduced, combining subjective and objective weights through a game theory approach to calculate the comprehensive weights, enabling the multidimensional information-based importance evaluation of transmission lines. Finally, an improved network efficiency index, representing the current operational performance of the grid, is developed to validate the proposed evaluation method. A simulation analysis using the IEEE-39 bus test system verifies the feasibility and accuracy of the proposed approach.

Keywords: line identification; comprehensive evaluation; multidimensional information features; attack strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/23/6013/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/23/6013/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:23:p:6013-:d:1532908

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().