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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

Node Vulnerability Assessment for Complex Power Grids Based on Effect Risk Entropy-Weighted Fuzzy Comprehensive Evaluation

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【作者】 丁明过羿张晶晶钱宇骋齐先军何剑易俊

【Author】 Ding Ming;Guo Yi;Zhang Jingjing;Qian Yucheng;Qi Xianjun;He Jian;Yi Jun;Hefei University of Technology;China Electric Power Research Institute;

【机构】 合肥工业大学电气与自动化工程学院中国电力科学研究院

【摘要】 电力系统脆弱性评估是当前的热点研究问题。目前基于复杂网络理论的电网元件脆弱性评估都是从社会网络分析方法或系统科学分析方法出发,从不同方面对具有不同拓扑结构特性的电网元件进行描述,所得结果不够全面。以电网节点为研究对象,提出基于效用风险熵权模糊综合评判的电网节点脆弱性评估方法。综合考虑节点客观数据信息和节点价值系数得到效用风险熵权,应用层次分析法将主观定性结论定量化,得到专家权重,两种权重通过合理方式形成综合权重。对节点脆弱性采取三种评价方式,实现对节点脆弱性的完全排序和分类。该方法不仅可以应用于不同类型的指标体系,而且便于扩展,以新英格兰10机39节点为例验证了该方法的合理性和有效性。

【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.

【基金】 国家电网公司大电网重大专项课题(SGCC-MPLG024-2012);国家自然科学基金(51007017);安徽省自然科学基金(1408085ME100)资助项目
  • 【文献出处】 电工技术学报 ,Transactions of China Electrotechnical Society , 编辑部邮箱 ,2015年03期
  • 【分类号】TM73
  • 【被引频次】24
  • 【下载频次】656
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