通信学报 ›› 2016, Vol. 37 ›› Issue (Z1): 10-14.doi: 10.11959/j.issn.1000-436x.2016241

• 学术论文 • 上一篇    下一篇

基于K-means聚类方法的电力通信模型自动生成方法及其优化

金鑫1,杨亮1,金成明2,苏国华3,孙磊3   

  1. 1 中央财经大学信息学院,北京 100081
    2 国网辽宁省电力有限公司信息通信分公司,辽宁 沈阳 110006
    3 北京国电通网络技术有限公司,北京 100070
  • 出版日期:2016-10-25 发布日期:2017-01-17
  • 基金资助:
    国家自然科学基金资助项目;国网科技部基金资助项目

Method to create and optimize original electric power communication network based on K-means

Xin JIN1,Liang YANG1,Cheng-ming JIN2,Guo-hua SU3,Lei SUN3   

  1. 1 Information School,Central University of Finance and Economics,Beijing 100081,China
    2 Liaoning Power Supply Company ICT Branch of State Grid Corporation,Shenyang 110006,China
    3 Beijing State Power Communication Network Technology Company,Beijing 100070,China
  • Online:2016-10-25 Published:2017-01-17
  • Supported by:
    TheNationalNaturalScienceFoundationofChina;Technology Project of State Grid Corpora-tion of China

摘要:

为了在电力通信模型的建立过程中生成一个比较合理和强壮的初始通信模型,在传统的Waxman方法的基础上,运用K-means的聚类思想生成节点,并对所生成的拓扑网络进行脆弱性分析和信息孤岛检测,然后对于网络中的脆弱节点进行补强。仿真实验结果显示这种结合K-means和脆弱性分析的拓扑生成算法在生成对意外风险具有较强抗性的电力网络拓扑方面具有比较好的效果。

关键词: K-means聚类, 电力通信, 网络拓扑, 脆弱性分析

Abstract:

The major contribution was using the K-means to create nodes instead of traditional Waxman means in order to get a suitable and strong original electric power communication network.After the nodes were created,a vulnerability analysis was given on the grid of the network topology and check that if it has a network islanding,at last the weak nodes would be reinforced.A simulation about this algorithm shows that this algorithm which combines K-means and vulner-ability can create a electric power communication networks with better resistance of risks.

Key words: K-means clustering, power communication, network topology, vulnerability analysis

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