Risk Assessment of Cascading Failures in Power System Based on Fuzzy Theory

Fu Chao Zhang; Jia Dong Huang

doi:10.4028/www.scientific.net/AMM.496-500.2733

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 496-500Risk Assessment of Cascading Failures in Power...

Risk Assessment of Cascading Failures in Power System Based on Fuzzy Theory

Abstract:

This paper makes a grading of the probability of cascading failures using the theory of fuzzy C-means clustering to implement the level of risk assessment. Then from the perspective of power system transient security, use the specific severity functions to grade the probability of cascading failures, and the synthetical severity is graded by fuzzy theory. Finally, synthesizing the probability of cascading failures with the severity of failure, and the level of risk assessment is determined according to the principle of the maximum membership. Finally, taking IEEE 39 system for example, to assess the level of the risk of cascading failures in power grid, thus the rationality and effectiveness of the proposed algorithm are verified.

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Periodical:

Applied Mechanics and Materials (Volumes 496-500)

Pages:

2733-2736

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.496-500.2733

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Online since:

January 2014

Authors:

Fu Chao Zhang, Jia Dong Huang

Keywords:

Cascading Failure, Fuzzy Theory, Power System, Risk Assessment

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