复杂电网自组织临界态辨识物理指标研究

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Abstract

After self-organized criticality described in detail, it is pointed out that high inhomogeneity of network and power flow distribution are important factors to enter self-organized critical state. Network topology entropy can be used to describe the inhomogeneity of the network distribution. The inhomogeneity of the power flow distribution is divided into two kinds caused by some transmission line with low load rate and by some transmission line with high load rate respectively; then it is put forward that the latter is the real factors of the grid to enter one of the self-organized critical state. As power flow entropy can not completely distinguish two different power flow distribution characteristics, the weighted power flow entropy is proposed to feature inhomogeneity of power flow distribution. Case study shows when the grid is in a self-organized critical state, the grid features low network topology entropy and high weighted power flow entropy. The weighted power flow entropy is better able to identify inhomogeneity of power flow distribution caused by some transmission line with high load rate compared with power flow entropy. Network topology entropy and weighted power flow entropy are used for self-organized critical state identification, assessment and cascading failures prevention control.

Key words： Cascading failure self-organized critical state network topology entropy weighted power flow entropy power flow entropy

Received: 05 July 2013 Published: 05 November 2014

PACS:

TM732

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	Articles by authors
	Liu Wenying
	Dan Yangqing
	Zhu Yanwei
	Liang Cai
	Cai Wantong
	Wang Weizhou
	Zheng Wei

Cite this article:

Liu Wenying,Dan Yangqing,Zhu Yanwei等. Research on Physical Indicators to Identify Power System Self-Organized Critical State[J]. Transactions of China Electrotechnical Society, 2014, 29(8): 274-280,288.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I8/274

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