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Power network robustness analysis based on electrical engineering and complex network theory

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  • Zhou, Dongyue
  • Hu, Funian
  • Wang, Shuliang
  • Chen, Jun

Abstract

The growing importance of power systems in the development of modern society has increasingly focused the attention on the various dangers to which these systems are exposed. This paper proposes a robust analysis framework based on complex network theory with the aim of exploring the robustness of the power system from a methodological perspective. The analysis framework establishes three models: a purely topological model, an artificial flow model, and a direct current power flow model to analyze the power system structure and functional robustness. We present different analysis metrics under different models, simulate three fault scenarios, and conduct an evaluation and analysis. The validity of the evaluation analysis was further verified by adopting IEEE300 and two randomly generated 1000-node network models that meet the characteristics of small world and scale, respectively, for detailed robustness analysis. The results show that the proposed method can effectively analyze a power system from the perspectives of pure topology, artificial flow, and direct current power flow. The case analysis based on the IEEE300 network and systems with different network characteristics proves that the framework is effective for the evaluation of power systems with different characteristics.

Suggested Citation

  • Zhou, Dongyue & Hu, Funian & Wang, Shuliang & Chen, Jun, 2021. "Power network robustness analysis based on electrical engineering and complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    • Handle: RePEc:eee:phsmap:v:564:y:2021:i:c:s0378437120308384
    DOI: 10.1016/j.physa.2020.125540
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    1. Wang, Shuliang & Zhang, Jianhua & Duan, Na, 2018. "Multiple perspective vulnerability analysis of the power network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1581-1590.
    2. Johansson, Jonas & Hassel, Henrik & Zio, Enrico, 2013. "Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 27-38.
    3. Fan, Wenli & Huang, Shaowei & Mei, Shengwei, 2016. "Invulnerability of power grids based on maximum flow theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 977-985.
    4. Li, Jian & Dueñas-Osorio, Leonardo & Chen, Changkun & Shi, Congling, 2017. "AC power flow importance measures considering multi-element failures," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 89-97.
    5. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    6. Ma, Tian-Lin & Yao, Jian-Xi & Qi, Cheng & Zhu, Hong-Lu & Sun, Yu-Shu, 2013. "Non-monotonic increase of robustness with capacity tolerance in power grids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5516-5524.
    7. Terje Aven, 2011. "On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 515-522, April.
    8. Shahpari, Alireza & Khansari, Mohammad & Moeini, Ali, 2019. "Vulnerability analysis of power grid with the network science approach based on actual grid characteristics: A case study in Iran," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 14-21.
    9. Yang, Zhirou & Liu, Jing, 2018. "Robustness of scale-free networks with various parameters against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 628-638.
    10. Yusta, Jose M. & Correa, Gabriel J. & Lacal-Arántegui, Roberto, 2011. "Methodologies and applications for critical infrastructure protection: State-of-the-art," Energy Policy, Elsevier, vol. 39(10), pages 6100-6119, October.
    11. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    12. Koç, Yakup & Warnier, Martijn & Mieghem, Piet Van & Kooij, Robert E. & Brazier, Frances M.T., 2014. "The impact of the topology on cascading failures in a power grid model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 169-179.
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    Cited by:

    1. Forsberg, Samuel & Thomas, Karin & Bergkvist, Mikael, 2023. "Power grid vulnerability analysis using complex network theory: A topological study of the Nordic transmission grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
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    3. Ma, Xiangyu & Zhou, Huijie & Li, Zhiyi, 2021. "On the resilience of modern power systems: A complex network perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. Wang, Ziqi & Pei, Yulong & Liu, Jing & Liu, Hehang, 2023. "Vulnerability analysis of urban road networks based on traffic situation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 41(C).

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