Research ArticleOpen AccessGoogle Scholar indexed
The Research of Transmission Network Planning Based on System’s Self-organized Criticality
Wuhan University, Hubei, Wuhan, China
Wuhan University, Hubei, Wuhan, China
Wuhan University, Hubei, Wuhan, China
Wuhan University, Hubei, Wuhan, China
- 1 Wuhan University, Hubei, Wuhan, China
- 2 Wuhan University, Hubei, Wuhan, China
- 3 Wuhan University, Hubei, Wuhan, China
- 4 Wuhan University, Hubei, Wuhan, China
Energy and Power Engineering·Volume 05 (2013)·Pages 902–905·Published 30 June 2013·DOI10.4236/epe.2013.54B173
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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.
KeywordsTransmission Line AssessmentSelf-organized CriticalityCascadeLoad Distribution
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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．
- P. Hines and S. Blumsack, “A Centrality Measure for Electrical Networks,” Hawaii International Conference on System Sciences, 2008.
- 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.
- A. E. Motter, “Cascade Control and Defense in Complex Networks,” Physical Review E, Vol. 93, 2008, 098701.