摘要
在分析电网物理与运行特性基础上,应用复杂网络理论对电网拓扑模型进行网络数据挖掘,实现对电网拓扑模型的结构辨识。提出了基于有功和无功网络分解的有向加权电网拓扑模型,给出了线路方向选取与线路权重计算的方法;重新定义了最短电气路径及相关网络参数,提出了平均贡献度的概念及计算方法;在此基础上,对电网进行了骨干网与社区网的数据挖掘。IEEE 39节点算例结果表明:基于有功和无功网络分解的有向加权拓扑模型更好地反映了电网的本质特征,验证了模型的有效性;基于复杂网络的结构分析能快速、有效地对网络重要单元及区域进行划分,为电网安全性分析及无功区域划分提供了参考。
Basing on a physical and operational analysis of a power grid, a method to identify the power grid＇s topological model by mining the networks data based on complex networks theory is proposed. Firstly, a directed-weighted topological model based on active and reactive network decomposition is proposed. Several definitions, algorithms and new parameters including the shortest electrical path, the direction and weight of line and the average contributiveness are given at this step. Then data mining method is applied to the topological model. Results of a numerical example show that it has a better reflection to the characteristics of power grid based on the directed-weighted topological model under the active and reactive network decompositions. Meanwhile, it has been verified that the model proposed is rational; and it can effectively identify the important part and area of a power grid based on complex network theory. The results can be used as a reference to the power system security and reactive power control partitioning analysis. This work is supported by National Natural Science Foundation of China （No. 50977059）.
出处
《电力系统自动化》
EI
CSCD
北大核心
2011年第4期12-17,共6页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50977059)~~
关键词
电力网络
网络数据挖掘
电网拓扑结构辨识
有功和无功网络分解
无功电压分区
复杂网络理论
electric power grid
networks data mining
power grid topological structure identification
active and reactive networks decomposition
reactive control partitioning
complex network theory
