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

Xiao Lyu^1, , Dan Lyu¹ and Yuge Yang¹

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

Cite this paper:
Xiao Lyu, Dan Lyu and 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

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.

Keywords:
power systems system brittleness brittle correlation factor brittleness factor

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Hongjie Jia, Dan Wang, Xiandong Xu and Xiaodan Yu, “Research on Some Key Problem Related to Integrated Energy Systems” Automation of Electric Power Systems, 2015. (07): 198-207.
[2]	Hongliang Wu, Ershun Du, Kun Men and Liu Yang, “A Low-Carbon Oriented Energy-Saving and Economic Operation Evaluation System” Power System Technology, 2015. (05): 1179-1185.
[3]	Ran Cao, Hongzhang Jin, Liyuan Feng and Xu Xu, “Cascading Failure Prevention of Complex Systems Based on Brittleness Entropy Game” High Technology Letters, 2013. (04): 422-428.
[4]	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.
[5]	Yijia Cao, Yanru Chen, Lihaung Cao and Yudong Tan, “Prospects of Studies on Application of Complex System Theory in Power Systems” Proceedings of the CSEE, 2012. (19): 1-9+178.
[6]	Huayi Zhang and Jingjing Zhang, “Brittle Risk Entropy Based Model for Forcasting Power System Cascading Failures” Proceedings of the CSU-EPSA, 2015. (04): 39-43.
[7]	Yingying Wang, Yi Luo, Guangyu Tu and Pei Liu, “Correlation Model of Cascading Failures in Power System” Transactions of China Electrotechnical Society, 2012. (02): 204-209.
[8]	Hongzhang Jin, Qi Wei and Jian Guo, Brittleness Theory and Application of Complex Systems, Northwestern Polytechnic University Press, Xi An, 2010.
[9]	Yinbiao Shu, Yong Tang and Huadong Sun, “Research on Power System Security and Stability Standards” Proceedings of the CSEE, 2013. (25): 1-9.
[10]	Yong Tang, “Framework of Comprehensive Defense Architecture for Power System Security and Stability” Power System Technology, 2012. (08):1-5.
[11]	Zhu Z Y, Chen R P, “The Biggest Collapse Path of Brittleness of Ship Power System Based on Chaos Particle Swarm Optimization” Journal of Wuhan University of Technology, 2013. 35(3):68-72.
[12]	Yin Yang, Qingwen Ren, Ying Tian and Yao Xiong, “Risk Analysis for A Cascade Reservoir System Using the Brittle Risk Entropy Method” Science China (Technological Sciences), 2016. (06):882-887.