Topology and admittance estimation:Precision limits and algorithms  

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

机构地区：[1]Department of Electrical Engineering,Tsinghua University,Beijing 100084,China [2]School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China [3]Laboratory of Information and Decision Systems,Massachusetts Institute of Technology,Cambridge,MA 02139 USA

出　　处：《iEnergy》2023年第4期297-307,共11页电力能源汇刊（英文）

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

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

关 键 词：Distribution grids topology estimation admittance estimation DATA-DRIVEN Newton−Raphson method 

分 类 号：TN9[电子电信—信息与通信工程]