摘要
电力数据的深度挖掘逐渐成为国内外学者的研究热点,针对当前低压配电台区由于档案缺失、线路改动带来的电力拓扑结构无法辨识等问题,提出了一种基于电力量测数据的低压台区电力拓扑结构的在线生成方法。首先依据电能在输电线路传输过程中会产生电压降落的原理,以负荷时序电压数据为分类依据,将节点进行K均值聚类;其次以支路为单位,将支路划分为中间支路与末端支路2种类型,计算各支路的输入输出电流,构建支路首末端电流矩阵,同时引入电压辅助判据,生成低压台区的电力拓扑关系。算例验证了本方法的科学性和有效性。
The deep mining of electric data has gradually become a research hotspot for scholars at home and abroad,it is difficult to identify the power topology structure in the current low-voltage distribution table area due to the lack of files and circuit changes,an on-line generating method for power topology in low-voltage platform based on power measurement data was proposed in this paper.According to the principle that electric energy will generate voltage drop in the transmission process of transmission lines,this method first took the load timing sequence voltage data as the basis for classification,the nodes were clustered with K-means;next took branch as unit,creatively,the branch was divided into two types:middle branch and end branch,then calculated the input-output current of each branch and construct the current matrix at the head and end of the branch,it was considered that there is a connection between the branches which satisfy Kirchhoff’s current law(KCL),at the same time,the voltage auxiliary criterion was introduced to generate the power topological relationship of the low-voltage platform area.The method presented in this paper does not require a lot of hardware devices,thus saving manpower,the example shows that the method is scientific and effective.
作者
李宁
郭泽林
袁铁江
王永超
白银平
潘成龙
晏强
LI Ning;GUO Zelin;YUAN Tiejiang;WANG Yongchao;BAI Yinping;PAN Chenglong;YAN Qiang(Institute of Electric Power Science,State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830000,Xinjiang Uygur Autonomous Region of China,China;School of Electrical Engineering,Dalian University of Technology,Dalian 116000,Liaoning Province,China;Urumqi Power Supply Company,State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830000,Xinjiang Uygur Autonomous Region of China,China)
出处
《分布式能源》
2020年第5期48-55,共8页
Distributed Energy
基金
中央高校基本科研业务项目(DUT20RC(5)021)
关键词
低压台区
电力量测信息
K均值聚类
拓扑生成
基尔霍夫电流定律(KCL)
low-voltage transformer area
electric power metrical information
K-means clustering
topology generation
Kirchhoff’s current law(KCL)
