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.
Published in | International Journal of Mechanical Engineering and Applications (Volume 4, Issue 2) |
DOI | 10.11648/j.ijmea.20160402.13 |
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), 2016. Published by Science Publishing Group |
Power System, Risk Assessment, Cascading Failure
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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
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
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
@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://article.sciencepublishinggroup.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} }
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 -