| 引用本文: | 苏慧玲,李 扬.基于电力系统复杂网络特征的线路脆弱性风险分析[J].电力自动化设备,2014,34(2): |
| SU Huiling,LI Yang.Line vulnerability risk analysis based on complex network characteristics of power system[J].Electric Power Automation Equipment,2014,34(2): |
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| 摘要: |
| 提出了一种从电力系统复杂网络特征角度分析线路脆弱性风险的方法。该方法首先采用自下而上的层次聚类法挖掘线路脆弱性的层次风险，并以电力系统的复杂网络特征为条件属性，以电力系统线路脆弱性为决策属性，建立系统样本决策表；然后采用基于贪婪启发式算法的ID3决策树数据挖掘法，建立线路脆弱性的精细化决策表；最后根据决策树建立电力系统线路脆弱性的层次风险模型，各层次所含线路的脆弱性风险与层次聚类法所得层次风险水平一致。IEEE 39节点算例结果表明电力系统复杂网络特征的分布情况决定了系统脆弱性线路风险大小。 |
| 关键词: 层次风险 复杂网络特征 电力系统 线路脆弱性 决策树 层次聚类 数据挖掘 风险 |
| DOI： |
| 分类号: |
| 基金项目:国家自然科学基金资助项目（51277028） |
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| Line vulnerability risk analysis based on complex network characteristics of power system |
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SU Huiling, LI Yang
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Southeast University，Nanjing 210096，China
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| Abstract: |
| A method is proposed to analyze the risk of line vulnerability from the perspective of complex network characteristics for power system，which applies the hierarchical clustering from bottom to top to discover the hierarchical risk of line vulnerability，takes the characteristics of complex network as the conditional attribute of power system and the line vulnerability as the decision attribute to build the decision table of system samples and adopts the data-mining of ID3 decision tree based on the greedy heuristic algorithm to build the refined decision table of line vulnerability，and finally builds the hierarchical risk model of line vulnerability according to the decision tree，with the line vulnerability risk of each level identical with the hierarchical risk discovered by hierarchical clustering. Study of IEEE 39-bus case shows the line vulnerability risk of power system depends on the distribution of its complex network characteristics. |
| Key words: hierarchical risk complex network characteristics electric power systems line vulnerability decision tree hierarchical clustering data mining risks |
