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Hong Zhang, Changzhen Hu and Xiaojun Wang, “Brittleness Analysis and Important Nodes Discovery in Large Time-Evolving Complex Networks” Journal of Shanghai Jiaotong University (Science), 2017. (01): 50-54.

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Article

A Modeling Method of Power System Based on Brittleness Factor and Brittleness Correlation Factor

1School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing, China


American Journal of Electrical and Electronic Engineering. 2019, Vol. 7 No. 2, 38-41
DOI: 10.12691/ajeee-7-2-3
Copyright © 2019 Science and Education Publishing

Cite this paper:
Xiao Lyu, Dan Lyu, Yuge Yang. A Modeling Method of Power System Based on Brittleness Factor and Brittleness Correlation Factor. American Journal of Electrical and Electronic Engineering. 2019; 7(2):38-41. doi: 10.12691/ajeee-7-2-3.

Correspondence to: Xiao  Lyu, School of Electrical & Automation Engineering, Nanjing Normal University, Nanjing, China. Email: nnulvxiao@126.com

Abstract

The power system is a complex nonlinear system composed of many dynamic components that interact with each other. Failure of any component in the system will have varying degrees of effects on the entire system. From the perspective of the fragility of complex systems, the brittleness factor model and brittleness correlation factor model of power systems are established in this paper, and a method to determine the brittleness chain of power network is proposed. The experimental results show that the model can realize the identification of the component failure of the potential excitation system and prevent effectively the occurrence of cascading failure, and verify the accuracy and validity of the model.

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