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Risk assessment of dynamic system cascading collapse for determining the sensitive transmission lines and severity of total loading conditions

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  • Salim, Nur Ashida
  • Othman, Muhammad Murtadha
  • Musirin, Ismail
  • Serwan, Mohd Salleh
  • Busan, Stendley

Abstract

This paper presents a computationally accurate technique used to determine the estimated average probability of a dynamic system cascading collapse considering the effect of hidden failure on a protection system. This requires an accurate calculation of the probability of hidden failure as it will give significant effect on the results of the estimated average probability of dynamic system cascading collapse. The estimated average probability of a dynamic system cascading collapse is then used to determine the severe loading condition contributing to a higher risk of a system cascading collapse. This information of risk assessment is important to the utility that will assist them to determine the maximum level of increase in the system loading condition before a critical dynamic system cascading collapse is incurred. Furthermore, initial tripping of sensitive transmission line contributing to a dynamic critical system cascading collapse can also be determined by using the proposed risk assessment. Based on the results obtained from this study, it was found that selecting the accurate probability of hidden failure is very important as it will affect the estimated average probability of a dynamic system cascading collapse used for determining the results of sensitive transmission lines and severity of total loading conditions.

Suggested Citation

  • Salim, Nur Ashida & Othman, Muhammad Murtadha & Musirin, Ismail & Serwan, Mohd Salleh & Busan, Stendley, 2017. "Risk assessment of dynamic system cascading collapse for determining the sensitive transmission lines and severity of total loading conditions," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 113-128.
    • Handle: RePEc:eee:reensy:v:157:y:2017:i:c:p:113-128
    DOI: 10.1016/j.ress.2016.08.002
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    References listed on IDEAS

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    1. Mohseni, Mansour & Islam, Syed M., 2012. "Review of international grid codes for wind power integration: Diversity, technology and a case for global standard," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3876-3890.
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    Cited by:

    1. 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.
    2. David, Alexander E. & Gjorgiev, Blazhe & Sansavini, Giovanni, 2020. "Quantitative comparison of cascading failure models for risk-based decision making in power systems," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    3. Fu, Xiuwen & Yao, Haiqing & Yang, Yongsheng, 2019. "Modeling and analyzing cascading dynamics of the clustered wireless sensor network," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 1-10.

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