电力系统自动化2024，Vol.48Issue(2)：60-70,11.DOI:10.7500/AEPS20230720002
基于智能电表数据的低压配电网拓扑与线路参数联合辨识
Joint Identification of Topology and Line Parameters for Low-voltage Distribution Network Based on Smart Meter Data
摘要
Abstract
In the low-voltage distribution network,frequent extensions and modifications by users lead to the issues such as delayed information updates and missing data in the account,making it difficult to obtain the topology and line parameters under the current operating conditions.For low-voltage distribution networks that lack phase angle measurement information and include an indeterminate number of"hidden nodes"with zero injection power,this paper presents a method for joint identification of the network topology and line parameters utilizing data from smart meters.Based on the electrical and structural characteristics of radial low-voltage distribution network,a linear inverse power flow model in the form of power-to-voltage ratio is derived.The impedance distance matrix is obtained by linear regression solution,and then the topology and line parameters are jointly identified using an improved recursive grouping algorithm without threshold setting.Finally,the effectiveness of the proposed algorithm is verified by arithmetic simulation in the IEEE European low-voltage test feeder and an actual low-voltage distribution network in Nanjing,China.关键词
低压配电网/智能电表/潮流/拓扑辨识/线路参数辨识Key words
low-voltage distribution network/smart meter/power flow/topology identification/line parameter identification引用本文复制引用
马尚,卫志农,黄蔓云,郑玉平,孙国强..基于智能电表数据的低压配电网拓扑与线路参数联合辨识[J].电力系统自动化,2024,48(2):60-70,11.基金项目
国家电网公司科技项目(新型电力系统配电网保护与自愈控制关键技术研究,5108-202218280A-2-75-XG). This work is supported by State Grid Coporation of China(No.5108-202218280A-2-75-XG). （新型电力系统配电网保护与自愈控制关键技术研究,5108-202218280A-2-75-XG）
