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Multi-period optimal power flow for identification of critical elements in a country scale high voltage power grid

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  • Vasylius, Virginijus
  • Jonaitis, Audrius
  • Gudžius, Saulius
  • Kopustinskas, Vytis

Abstract

The paper focuses on the identification and numerical ranking of critical elements in a power transmission network. This problem is closely linked to the identification of critical infrastructure in a power grid. A quantitative ranking of the power system elements is necessary for the prioritization of actions enhancing system resilience, as the most critical elements require higher attention ensuring protection, functionality, redundancy and reliability. The paper presents a methodological approach based on alternating current multi-period optimal power flow problem formulation and application on a reference network replicating a country scale system. The multi-period optimal power flow method was tested and applied to the reference system and a number of critical elements were identified. The paper further discusses possible protection and mitigation measures.

Suggested Citation

  • Vasylius, Virginijus & Jonaitis, Audrius & Gudžius, Saulius & Kopustinskas, Vytis, 2021. "Multi-period optimal power flow for identification of critical elements in a country scale high voltage power grid," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:reensy:v:216:y:2021:i:c:s0951832021004701
    DOI: 10.1016/j.ress.2021.107959
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    References listed on IDEAS

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    1. 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.
    2. Shahbaz, Muhammad & Khan, Saleheen & Tahir, Mohammad Iqbal, 2013. "The dynamic links between energy consumption, economic growth, financial development and trade in China: Fresh evidence from multivariate framework analysis," Energy Economics, Elsevier, vol. 40(C), pages 8-21.
    3. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    4. Wang, Shuliang & Lv, Wenzhuo & Zhang, Jianhua & Luan, Shengyang & Chen, Chen & Gu, Xifeng, 2021. "Method of power network critical nodes identification and robustness enhancement based on a cooperative framework," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    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. Eldosouky, AbdelRahman & Saad, Walid & Mandayam, Narayan, 2021. "Resilient critical infrastructure: Bayesian network analysis and contract-Based optimization," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    7. Volkanovski, Andrija & ÄŒepin, Marko & Mavko, Borut, 2009. "Application of the fault tree analysis for assessment of power system reliability," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1116-1127.
    8. Praks, Pavel & Kopustinskas, Vytis & Masera, Marcelo, 2015. "Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 254-264.
    9. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "Energy consumption, pollutant emissions and economic growth in South Africa," Energy Economics, Elsevier, vol. 32(6), pages 1374-1382, November.
    10. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
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    Cited by:

    1. Hao, Yucheng & Jia, Limin & Zio, Enrico & Wang, Yanhui & He, Zhichao, 2023. "A multi-objective optimization model for identifying groups of critical elements in a high-speed train," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Zou, Yanhua & ÄŒepin, Marko, 2024. "Loss of load probability for power systems based on renewable sources," Reliability Engineering and System Safety, Elsevier, vol. 247(C).

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