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Volume 4, Issue 2, April 2016, Page: 50-58
Cascading Failure Risk Assessment Considering Protection System Hidden Failures
Rui Hu, College of Electrical and Information, Jinan University, Zhuhai, China
Xindong Liu, College of Electrical and Information, Jinan University, Zhuhai, China
Yulong Huang, College of Electrical and Information, Jinan University, Zhuhai, China
Can Chen, Zhuhai Power Supply Bureau, Guangdong Power Grid Corporation, Zhuhai, China
Jianfen Zhang, College of Electrical and Information, Jinan University, Zhuhai, China
Received: Feb. 15, 2016;       Accepted: Feb. 24, 2016;       Published: Apr. 5, 2016
DOI: 10.11648/j.ijmea.20160402.13      View  5346      Downloads  232
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.
Keywords
Power System, Risk Assessment, Cascading Failure
To cite this article
Rui Hu, Xindong Liu, Yulong Huang, Can Chen, Jianfen Zhang, Cascading Failure Risk Assessment Considering Protection System Hidden Failures, International Journal of Mechanical Engineering and Applications. Vol. 4, No. 2, 2016, pp. 50-58. doi: 10.11648/j.ijmea.20160402.13
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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