A kernel-based clustering approach to finding communities in multi-machine power systems

作者：Xing Zhi, Wang^*; Zheng, Yan; Qian Tu, Ruan; Wei, Wang

来源：European Transactions on Electrical Power, 2009, 19(8): 1131-1139.

DOI：10.1002/etep.289

• clustering
• data mining
• kernel k-means
• power system security
• transient stability

When a power system is subjected to a large disturbance, effective identification of vulnerable bus and generator groupings in the complex power grid contributes to the analysis of power system dynamic behavior. Also, computationally simple and reliable identification of clusters is of primary importance in the successful application of hybrid transient stability assessment methods. In the paper, a kernel-based clustering approach is proposed to finding communities of power grids and generators, using data clustering and multi-machine equivalent concept. The calculation of the cluster analysis is simple and fast, as only the network topology and generator dynamic parameters along the post-fault trajectory are required. Case studies using different scale test systems are given to illustrate the validity of the proposed method.

• 出版日期2009-11
• 单位上海交通大学