Admissibility of Uncertain Injections in Quadratic Algebraic Systems

被引:0
作者
Wang, Cong [1 ]
Stai, Eleni [1 ]
Le Boudec, Jean-Yves [1 ]
机构
[1] Ecole Polytech Fed Lausanne EPFL, Sch Comp & Commun Sci, CH-1015 Lausanne, Switzerland
来源
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS | 2021年 / 8卷 / 01期
关键词
Control; convex relaxation; feasibility check; multivariate quadratic algebraic systems; nonsingularity; polynomial optimization; security constraints; uncertainty; OPTIMAL POWER-FLOW; GLOBAL OPTIMIZATION; RELAXATIONS; COMPLEXITY;
D O I
10.1109/TCNS.2020.3007821
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 study the admissibility problem in multivariate algebraic systems, such as ac electrical networks, where the power injection is quadratic in the state. The goal of such systems is to ensure that the state stays in some security set (e.g., magnitudes of nodal voltages and branch currents are within safety bounds). A common practice is to implicitly control the state by controlling the injection; a difficulty is that the number of states that correspond to a given injection can be zero or many. Further, the injection is subject to some uncertainty. The admissibility problem is whether it is possible to ensure that the state stays in the security set, given that the only available information is some uncertainty set that constrains the injection. We extend the recently proposed V-control theory, design a solution framework to test if a given uncertainty set is admissible, and develop a concrete method for ac electrical networks.
引用
收藏
页码:379 / 390
页数:12
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