Topology and admittance estimation:Precision limits and algorithms

作     者：Ning Zhang Yuxiao Liu Fangyuan Si Qingchun Hou Audun Botterud Chongqing Kang 

作者机构：Department of Electrical EngineeringTsinghua UniversityBeijing 100084China School of Electrical EngineeringBeijing Jiaotong UniversityBeijing 100044China Laboratory of Information and Decision SystemsMassachusetts Institute of TechnologyCambridgeMA 02139 USA 

出 版 物：《iEnergy》 (电力能源汇刊（英文）)

年 卷 期：2023年第2卷第4期

页      面：297-307页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：funded by the Science and Technology Project of State Grid Corporation of China(5100-202199519A-0-5-ZN) 

主　　题：Distribution grids topology estimation admittance estimation data-driven Newton−Raphson method 

摘      要：Distribution grid topology and admittance information are essential for system planning,operation,and *** many distribution grids,missing or inaccurate topology and admittance data call for efficient estimation ***,measurement data may be insufficient or contaminated with large noise,which will fundamentally limit the estimation *** work explores the theoretical precision limits of the topology and admittance estimation(TAE)problem with different measurement devices,noise levels,and numbers of *** this basis,we propose a conservative progressive self-adaptive(CPS)algorithm to estimate the topology and *** results on IEEE 33 and 141-bus systems validate that the proposed CPS method can approach the theoretical precision limits under various measurement settings.