期刊文献+

模糊聚类在负荷实测建模中的应用 被引量:41

Application of Fuzzy Clustering in Measurement-Based Load Modeling
下载PDF
导出
摘要 提出应用模糊聚类理论解决区域电网中上百个变电站的分类问题。在区域电网通过总体测辨法进行综合负荷建模时,应用模糊聚类理论对负荷节点一变电站进行分类,从中确定具有代表性的变电站作为实测负荷特性的测点。利用基于模糊等价关系的传递闭包法对东北电网234个220 kV变电站进行了模糊分类,论证了应用模糊聚类完成变电站分类的步骤,结果表明,在利用界限不明确的负荷类型作为变电站分类特征方面,模糊聚类分析方法是有效和可行的。 An approach to classify hundreds of substations in a regional power grid by fuzzy clustering is proposed. When comprehensive loads in regional power grid are modeled based on measured data, the fuzzy clustering theory is applied to classify substations, in which the representative substations are chosen as the measured points to measure load features. Using transitive closure method based on fuzzy equivalent relation, the fuzzy classification of 234 substations in 220 kV system of Northeast power grid is conducted, thus the procedures of classifying substations by fuzzy clustering are verified. Classification results show that fuzzy clustering analysis method is feasible while the types of loads with indefinite bounds are used as the characteristics for substation classification.
出处 《电网技术》 EI CSCD 北大核心 2006年第14期49-52,共4页 Power System Technology
关键词 模糊聚类 负荷建模 测点 变电站 电力系统 fuzzy clustering load modeling measured point substation power system
  • 相关文献

参考文献20

二级参考文献62

共引文献565

同被引文献391

引证文献41

二级引证文献478

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部