基于效用风险熵权模糊综合评判的复杂电网节点脆弱性评估

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Abstract There is a critical need for the vulnerability assessment of power systems. Recently, vulnerability of power system components based on complex network theory is assessed by applying social network analysis methods or systems science analysis methods and grid components with different topology characteristics are described at different aspects, while these methods have some limitations. In this paper, grid nodes are taken as analysis objects, and a fuzzy comprehensive evaluation is proposed to assess grid node vulnerability based on effect risk entropy-weight. The effect risk entropy-weight is derived by combing node objective data information and the node value-coefficient, and expert-weights are quantified by applying analytic hierarchy process(AHP). Integrated weight can be formed through an appropriate method after getting the two weights. Node vulnerability is assessed by using three kinds of evaluation methods and the node vulnerability full sorting and classification are achieved. This method can be applied to different types of index systems, and can be easily expanded. The rationality and effectiveness of the proposed method is verified by a test on New England 39-bus system.

Key words： Complex power grid effect risk entropy effect risk entropy-weight fuzzy comprehensive evaluation node vulnerability assessment

Received: 08 October 2013 Published: 13 April 2015

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TM734

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	Ding Ming
	Guo Yi
	Zhang Jingjing
	Qian Yucheng
	Qi Xianjun
	He Jian
	Yi Jun

Cite this article:

Ding Ming,Guo Yi,Zhang Jingjing等. Node Vulnerability Assessment for Complex Power Grids Based on Effect Risk Entropy-Weighted Fuzzy Comprehensive Evaluation[J]. Transactions of China Electrotechnical Society, 2015, 30(3): 214-223.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2015/V30/I3/214

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