Large-scale distributed PV cluster division based on Fast Unfolding clustering algorithm

被引：0
|
作者：
Wang L. [1 ]
Zhang F. [1 ]
Kou L. [2 ]
Xu Y. [2 ]
Hou X. [2 ]
机构：
[1] Anhui Provincial Engineering Laboratory for Renewable Energy and Energy Saving, Hefei University of Technology, Hefei
[2] China Electric Power Research Institute, Beijing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 10期
关键词：
Clustering algorithm; Clustering analysis; Large scale system; Modularity function; Photovoltaic generation;
D O I：
10.19912/j.0254-0096.tynxb.2018-0896
中图分类号：
学科分类号：
摘要：
Based on the analysis of correlation characteristics between PV and load in the distribution network, this paper select net load, active and reactive power regulation capacity of PV as indicators, and the electrical distance characteristics between nodes are also considered. The similarity between PV nodes is quantified by the node similarity calculation formula, and the Fast Unfolding clustering algorithm is used to partitioning the PV clusters. Modularity function of complex network is introduced in the partitioning process. With the aid of optimizing of the modularity function, reasonable clustering results can be obtained without artificially setting the number of clusters. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.
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页码：29 / 34
页数：5
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