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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Keji Chen & Yingqi Tie & Maohua Li, 2024. "Importance Evaluation of Power Grid Transmission Lines Based on Multidimensional Information Feature Mapping," Energies, MDPI, vol. 17(23), pages 1-27, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6013-:d:1532908
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    References listed on IDEAS

    as
    1. Wu, Di & Ma, Feng & Javadi, Milad & Thulasiraman, Krishnaiya & Bompard, Ettore & Jiang, John N., 2017. "A study of the impacts of flow direction and electrical constraints on vulnerability assessment of power grid using electrical betweenness measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 295-309.
    2. Musa Yilmaz, 2024. "Comparative Analysis of Hybrid Maximum Power Point Tracking Algorithms Using Voltage Scanning and Perturb and Observe Methods for Photovoltaic Systems under Partial Shading Conditions," Sustainability, MDPI, vol. 16(10), pages 1-15, May.
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