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Identification of Critical Transmission Lines in Complex Power Networks

Author

Listed:
  • Ziqi Wang

    (Power System Protection and Control Research Laboratory, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing 100044, China)

  • Jinghan He

    (Power System Protection and Control Research Laboratory, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing 100044, China)

  • Alexandru Nechifor

    (School of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK)

  • Dahai Zhang

    (Power System Protection and Control Research Laboratory, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing 100044, China)

  • Peter Crossley

    (School of Electrical and Electronic Engineering, The University of Manchester, Manchester M13 9PL, UK)

Abstract

Growing load demands, complex operating conditions, and the increased use of intermittent renewable energy pose great challenges to power systems. Serious consequences can occur when the system suffers various disturbances or attacks, especially those that might initiate cascading failures. Accurate and rapid identification of critical transmission lines is helpful in assessing the system vulnerability. This can realize rational planning and ensure reliable security pre-warning to avoid large-scale accidents. In this study, an integrated “betweenness” based identification method is introduced, considering the line’s role in power transmission and the impact when it is removed from a power system. At the same time, the sensitive regions of each line are located by a cyclic addition algorithm (CAA), which can reduce the calculation time and improve the engineering value of the betweenness, especially in large-scale power systems. The simulation result verifies the effectiveness and the feasibility of the identification method.

Suggested Citation

  • Ziqi Wang & Jinghan He & Alexandru Nechifor & Dahai Zhang & Peter Crossley, 2017. "Identification of Critical Transmission Lines in Complex Power Networks," Energies, MDPI, vol. 10(9), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1294-:d:110349
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    References listed on IDEAS

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    Cited by:

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    2. Peng Jiang & Shengjun Huang & Tao Zhang, 2019. "Optimal Deception Strategies in Power System Fortification against Deliberate Attacks," Energies, MDPI, vol. 12(3), pages 1-20, January.
    3. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    4. Chang Han & Yuxuan Zhao & Zhenzhi Lin & Yi Ding & Li Yang & Guanqiang Lin & Tianwen Mo & Xiaojun Ye, 2018. "Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method," Energies, MDPI, vol. 11(6), pages 1-18, May.
    5. Xiaogang Song & Zhengjun Zhai & Yangming Guo & Peican Zhu & Jie Han, 2017. "Approximate Analysis of Multi-State Weighted k -Out-of- n Systems Applied to Transmission Lines," Energies, MDPI, vol. 10(11), pages 1-16, October.

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