Share This Article:

The Research of Transmission Network Planning Based on System’s Self-organized Criticality

Abstract Full-Text HTML Download Download as PDF (Size:137KB) PP. 902-905
DOI: 10.4236/epe.2013.54B173    2,341 Downloads   3,020 Views  

ABSTRACT

This paper presents a new line importance degree evaluation index for the propagation of cascading failures, which is used to quantify transmission lines for cascade spread. And propose an improved capital matching model, according to the results of the evaluation, to enhanced robustness of the power system. The simulation results proved that in the case of the same system, the new model can inhibit cascade spread, reduce the probability of large-scale blackouts.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Z. Shu, C. Deng, W. Huang and Y. Weng, "The Research of Transmission Network Planning Based on System’s Self-organized Criticality," Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 902-905. doi: 10.4236/epe.2013.54B173.

References

[1] J. Yi, X. X. Zhou and Y. N. Xiao, “Analysis on Power System Self-Organized Criticality and Its Simulation Model,” Power System Technology, Vol. 32, No. 3, 2008, pp. 7-12.
[2] R.-R. Li, Y. Zhang and Q. Y. Jiang, “Risk Assessment for Cascading Failures of Complex Power System,” Power System Technology, Vol. 5, No. 10, 2006, pp. 18-22.
[3] Q. Y. Xie, C. H. Deng, H. S. Zhao, et al., “Evaluation Method for Node Importance of Power Grid Based on the Weighted Network Model,” Automation of Electric Power Systems, Vol. 33, No. 4, 2009, pp. 21-24.
[4] X. P. Ni, S. W. Mei and X. M. Zhang, “Transmission Lines’ Vulnerability Assessment Based on Complex Network Theory,” Automation of Electric Power Systems, Vol. 32, No. 4, 2008, pp. 1-4.
[5] M. Ding and P. P. Han, “Small World Topological Model Based Vulnerability Assessment to Large Scale Power Grid,” Proceedings of the CSEE, Vol. 25, 2005, pp. 118-122.
[6] Q. Yu, N. Cao and J. B. Guo, “Analysis on Influence of Load Rate on Power System Self-organized Criticality,” Automation of Electric Power Systems, Vol. 36, No. 1, 2012, pp. 24-30.
[7] Y. J. Cao, G. Z. Wang, L. H. Cao and L. J. Ding, “An Identification Model for Self-oganized Criticality of Power Grids Based on Power Flow Entropy,” Automation of Electric Power Systems, Vol. 7, No. 35, 2011, pp. 1-8.
[8] H. Q. Deng, X. Ai and L. Zhao, “Discussion on Several Problems of Self-Organized Criticality of Blackout,” Power System Technology, Vol. 31, No. 8, 2007, pp. 42-48.
[9] H. J. Sun, H. Zhao and J. J. Wu. “A Robust Matching Model of Capacity to Defense Cascading Failure on Complex Networks,” Physical Review A, Vol. 20, 2008, pp. 6431-6435.
[10] B. Wang and B.-J. Kim, “A High-robustness and Low-cost Model for Cascading Failures, Europhysics Letters, Vol. 78, 2007, 48001. doi:10.1209/0295-5075/78/48001
[11] X. P. Ni, X. M. Zhang and S. W. Mei, “Generator Tripping Strategy Based on Complex Network Theory,” Power System Technology, Vol. 9, No. 34, 2010, pp. 33-38.
[12] P. Hines and S. Blumsack, “A Centrality Measure for Electrical Networks,” Hawaii International Conference on System Sciences, 2008.
[13] Y. J. Cao, X. G. Chen and K. Sun, “Identincation of Vulnerable Lines in Power Grid Based on Complex Network Theory,” Automation of Electric Power Systems, Vol. 26, No. 12, 2006, pp. 27-31.
[14] A. E. Motter, “Cascade Control and Defense in Complex Networks,” Physical Review E, Vol. 93, 2008, 098701.
[15] L. Xu, X. L. Wang and X. F. Wang, “Cascading Failure Mechanism in Power Grid Based on Electric Betweenness and Active Defense,” Proceedings of the CSEE, Vol. 13, 2010, pp. 61-65.
[16] Ae Motter, “Cascade-based Attacks on Complex Networks,” Physical Review E, Vol. 66, 2002, pp. 065102.
[17] W. Kai, B.-H. Zhang and Z. Zhang, et al., “An Electrical Betweenness Approach for Vulnerability Assessment of Power Grids Considering the Capacity of Generators and Load,” Science Direct Physica A, Vol. 390, 2011, pp. 4692-4701.
[18] J.-F. Zheng, Z.-Y. Gao, X.-M. Zhao, “Modeling Cascading Failures in Congested Complex Networks,” Science Direct Physica A., Vol. 385, 2007, pp. 700-706.

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.