东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (10): 1369-1373.DOI: 10.12068/j.issn.1005-3026.2016.10.001

• 信息与控制 •    下一篇

电网与灾害交互影响对电网关键环节辨识的影响

黄博南， 李玉帅， 孙秋野， 张化光   

  1. (东北大学 信息科学与工程学院， 辽宁 沈阳110819)
  • 收稿日期:2015-10-15 修回日期:2015-10-15 出版日期:2016-10-15 发布日期:2016-10-14
  • 通讯作者: 黄博南
  • 作者简介:黄博南(1982-)，男，辽宁沈阳人，东北大学讲师，博士； 张化光(1959-)，男，辽宁沈阳人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金重点基金资助项目(61433004)； 中国博士后科学基金资助项目(2015M570253)； 中央高校基本科研业务费专项资金资助项目( N150403004).

Effect of Power Grid Interaction Disaster on Identifying Critical Lines and Nodes of Power Grid

HUANG Bo-nan， LI Yu-shuai， SUN Qiu-ye， ZHANG Hua-guang   

  1. School of Information Science & Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2015-10-15 Revised:2015-10-15 Online:2016-10-15 Published:2016-10-14
  • Contact: HUANG Bo-nan
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摘要： 首先给出并分析了电网与灾害两个不同复杂网络各自的快慢动态过程，并依此提出了电网与灾害交互影响的分析策略，对其中的12个方面影响做了详细的研究和探讨.结合电网与灾害的交互影响与网络最大流理论，提出了一种新颖的关键环节辨识方法.定义综合性指标作为其辨识依据，该指标不仅可以反映电力系统内部运行特征，还可以反应灾害影响下的电力系统外部运行特征.最后以西藏电网为实际模型进行推演，结果表明该方法可以有效辨识其关键节点和线路，适用于灾害影响下的电力系统脆弱性评估，进而验证了所述方法的合理性和有效性.

关键词: 电网, 灾害, 复杂网络, 关键环节辨识, 脆弱性估计

Abstract: Firstly， the slow and fast dynamic processes of the complex networks were given and analyzed respectively for the power grid and the disaster， and the analytic strategy of the reciprocal impact between the power grid and disaster was proposed， in which twelve aspects of the impact were studied and discussed in detail. A novel method was proposed to identify the critical lines and nodes of the power systems on the basis of the maximum flow theory and reciprocal effect between the power grid and disaster. A synthetic performance index was defined as the basis of identification which not only could reflect the internal operation characteristics but also the external operation characteristics of the power system under the influence of disaster. Finally， an example of the power grid in Tibet was provided to test the proposed method， and the result showed that the method can effectively identify the critical lines and nodes under the influence of the disaster， and is appropriate for vulnerability estimation of power system influenced by disaster， which demonstrates the rationality and validity of the proposed method.

Key words: power grid, disaster, complex networks, identification of critical lines and nodes；vulnerability estimation

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