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.
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页码：261 / 273
页数：13
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