Inverse Power Flow Problem

被引：19

作者：

Yuan, Ye ^{[1
]}

Low, Steven H. ^{[2
]}

Ardakanian, Omid ^{[3
]}

Tomlin, Claire J. ^{[4
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China

[2] CALTECH, Dept Comp & Math Sci & Elect Engn, Pasadena, CA 91125 USA

[3] Univ Alberta, Dept Comp Sci, Edmonton, AB T6G 2R3, Canada

[4] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA

来源：

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS | 2023年 / 10卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Inverse power flow problem; Kron reduction; phasor measurement units; system identification; TOPOLOGY IDENTIFICATION;

D O I：

10.1109/TCNS.2022.3199084

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We formulate an inverse power flow problem that infers a nodal admittance matrix from voltage and current phasors measured at a number of buses. We show that the admittance matrix can be uniquely identified from a sequence of measurements corresponding to different steady states when every node in the system is equipped with a measurement device, and a Kron-reduced admittance matrix can be determined even if some nodes in the system are not monitored (hidden nodes). We propose an effective algorithm to uncover the actual admittance matrix of a radial system with hidden nodes from its Kron-reduced admittance matrix.

引用

页码：261 / 273

页数：13

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