International Journal of Mechanical Engineering and Applications

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Cascading Failure Risk Assessment Considering Protection System Hidden Failures

Received: 15 February 2016    Accepted: 24 February 2016    Published: 05 April 2016
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Abstract

Cascading failure plays an important role in blackouts. Complex network theory, with the disadvantage of ignoring some of physical features of the power systems, is often utilized to model the cascading failure evolution processes. In this paper, a new risk assessment method based on evolution procedure and dynamic fault trees (DFTs), is proposed to model cascading failures in power systems. DFTs, which extend standard fault tree by allowing the modeling of complex system components’ behaviors and interactions, are introduced to describe the cascading failure mathematical model. The power grid topologies affected by protective relays, circuit breakers and transmission lines are taken into consideration to overcome the disadvantages of complex network theory. The evolution of cascading failures of power system, which is modeled based on the DFT, is significantly closer to the actual physical system behavior. The effectiveness of the proposed risk assessment method is discussed using two test cases.

DOI 10.11648/j.ijmea.20160402.13
Published in International Journal of Mechanical Engineering and Applications (Volume 4, Issue 2, April 2016)
Page(s) 50-58
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Power System, Risk Assessment, Cascading Failure

References
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[4] Lee, Stephen T. Probabilistic online risk assessment of non-cascading and cascading transmission outage contingencies. European Transactions on Electrical Power 2008; 18(8): 835-853
[5] Ming Ni, McCalley, J. D., Vittal, V., Tayyib, T.. Online risk-based security assessment. Power Systems, IEEE Transactions on 2003; 18(1): 258-265
[6] Kai Sun, Lee, S. T., Pei Zhang. An adaptive power system equivalent for real-time estimation of stability margin using phase-plane trajectories. Power Systems, IEEE Transactions on 2011; 26(2): 915-923
[7] Mei Shengwei, Wu Shengyu, Zhang Xuemin, Wang Gang, Xia, Deming. Power system blackout model with transient constraints and its criticality. European Transactions on Electrical Power 2011; 21(1): 59-69
[8] Jun Zhang, Jian Pu, McCalley, J. D.; Stern, H., Gallus, W. A., Jr.. A Bayesian approach for short-term transmission line thermal overload risk assessment. Power Delivery, IEEE Transactions on 2002; 17(3): 770-778
[9] Yu Sun, Xiuli Wang and Zhaohong Bie, et al. Characteristics analysis and risk modeling of ice flashover fault in power grids. IEEE Transactions on power delivery 2012; 27(3): 1301-1313
[10] De La Ree, J., Yilu Liu, Mili, L., Phadke, A. G., Dasilva, L.. Catastrophic failures in power systems: causes, analyses, and countermeasures. Proceedings of the IEEE 2005; 93(5): 956-964
[11] Xingbin Yu; Singh, C.. A practical approach for integrated power system vulnerability analysis with protection failures. Power Systems, IEEE Transactions on2004; 19(4): 1811-1820
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Author Information
  • College of Electrical and Information, Jinan University, Zhuhai, China

  • College of Electrical and Information, Jinan University, Zhuhai, China

  • College of Electrical and Information, Jinan University, Zhuhai, China

  • Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation, Zhuhai, China

  • College of Electrical and Information, Jinan University, Zhuhai, China

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  • APA Style

    Rui Hu, Xindong Liu, Yulong Huang, Can Chen, Jianfen Zhang. (2016). Cascading Failure Risk Assessment Considering Protection System Hidden Failures. International Journal of Mechanical Engineering and Applications, 4(2), 50-58. https://doi.org/10.11648/j.ijmea.20160402.13

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    ACS Style

    Rui Hu; Xindong Liu; Yulong Huang; Can Chen; Jianfen Zhang. Cascading Failure Risk Assessment Considering Protection System Hidden Failures. Int. J. Mech. Eng. Appl. 2016, 4(2), 50-58. doi: 10.11648/j.ijmea.20160402.13

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    AMA Style

    Rui Hu, Xindong Liu, Yulong Huang, Can Chen, Jianfen Zhang. Cascading Failure Risk Assessment Considering Protection System Hidden Failures. Int J Mech Eng Appl. 2016;4(2):50-58. doi: 10.11648/j.ijmea.20160402.13

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  • @article{10.11648/j.ijmea.20160402.13,
      author = {Rui Hu and Xindong Liu and Yulong Huang and Can Chen and Jianfen Zhang},
      title = {Cascading Failure Risk Assessment Considering Protection System Hidden Failures},
      journal = {International Journal of Mechanical Engineering and Applications},
      volume = {4},
      number = {2},
      pages = {50-58},
      doi = {10.11648/j.ijmea.20160402.13},
      url = {https://doi.org/10.11648/j.ijmea.20160402.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijmea.20160402.13},
      abstract = {Cascading failure plays an important role in blackouts. Complex network theory, with the disadvantage of ignoring some of physical features of the power systems, is often utilized to model the cascading failure evolution processes. In this paper, a new risk assessment method based on evolution procedure and dynamic fault trees (DFTs), is proposed to model cascading failures in power systems. DFTs, which extend standard fault tree by allowing the modeling of complex system components’ behaviors and interactions, are introduced to describe the cascading failure mathematical model. The power grid topologies affected by protective relays, circuit breakers and transmission lines are taken into consideration to overcome the disadvantages of complex network theory. The evolution of cascading failures of power system, which is modeled based on the DFT, is significantly closer to the actual physical system behavior. The effectiveness of the proposed risk assessment method is discussed using two test cases.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Cascading Failure Risk Assessment Considering Protection System Hidden Failures
    AU  - Rui Hu
    AU  - Xindong Liu
    AU  - Yulong Huang
    AU  - Can Chen
    AU  - Jianfen Zhang
    Y1  - 2016/04/05
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijmea.20160402.13
    DO  - 10.11648/j.ijmea.20160402.13
    T2  - International Journal of Mechanical Engineering and Applications
    JF  - International Journal of Mechanical Engineering and Applications
    JO  - International Journal of Mechanical Engineering and Applications
    SP  - 50
    EP  - 58
    PB  - Science Publishing Group
    SN  - 2330-0248
    UR  - https://doi.org/10.11648/j.ijmea.20160402.13
    AB  - Cascading failure plays an important role in blackouts. Complex network theory, with the disadvantage of ignoring some of physical features of the power systems, is often utilized to model the cascading failure evolution processes. In this paper, a new risk assessment method based on evolution procedure and dynamic fault trees (DFTs), is proposed to model cascading failures in power systems. DFTs, which extend standard fault tree by allowing the modeling of complex system components’ behaviors and interactions, are introduced to describe the cascading failure mathematical model. The power grid topologies affected by protective relays, circuit breakers and transmission lines are taken into consideration to overcome the disadvantages of complex network theory. The evolution of cascading failures of power system, which is modeled based on the DFT, is significantly closer to the actual physical system behavior. The effectiveness of the proposed risk assessment method is discussed using two test cases.
    VL  - 4
    IS  - 2
    ER  - 

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