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Related papers: On linear relaxations of OPF problems

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Convex relaxations of the AC Optimal Power Flow (OPF) problem are essential not only for identifying the globally optimal solution but also for enabling the use of OPF formulations in Bilevel Programming and Mathematical Programs with…

Optimization and Control · Mathematics 2020-06-23 Lucien Bobo , Andreas Venzke , Spyros Chatzivasileiadis

Optimal power flow (OPF) is a key problem in power system operations. OPF problems that use the nonlinear AC power flow equations to accurately model the network physics have inherent challenges associated with non-convexity. To address…

Optimization and Control · Mathematics 2020-06-19 Mohammad Rasoul Narimani , Daniel K. Molzahn , Mariesa L. Crow

We revisit the problem of relaxation in scalar gravitational field theory proposing a novel numerical solution to the problem.

General Physics · Physics 2025-01-28 Riccardo Fantoni

Optimal power flow (OPF) over power transmission networks poses challenging large-scale nonlinear optimization problems, which involve a large number of quadratic equality and indefinite quadratic inequality constraints. These…

Systems and Control · Computer Science 2018-02-14 Y. Shi , H. D. Tuan , P. Apkarian , A. V. Savkin

It is well known that the solutions of a (relaxed) commutant lifting problem can be described via a linear fractional representation of the Redheffer type. The coefficients of such Redheffer representations are analytic operator-valued…

Functional Analysis · Mathematics 2020-03-02 S. ter Horst

Several convex relaxations of the optimal power flow (OPF) problem have recently been developed using both bus injection models and branch flow models. In this paper, we prove relations among three convex relaxations: a semidefinite…

Systems and Control · Computer Science 2014-01-10 Subhonmesh Bose , Steven H. Low , Thanchanok Teeraratkul , Babak Hassibi

Recently, there has been significant interest in convex relaxations of the optimal power flow (OPF) problem. A semidefinite programming (SDP) relaxation globally solves many OPF problems. However, there exist practical problems for which…

Optimization and Control · Mathematics 2016-11-17 Daniel K. Molzahn , Ian A. Hiskens

In this paper it is shown that the compact linearization approach, that has been previously proposed only for binary quadratic problems with assignment constraints, can be generalized to arbitrary linear equations with positive coefficients…

Optimization and Control · Mathematics 2017-12-19 Sven Mallach

In this paper, we study the properties of closure operators obtained as initial lifts along a reflector, and compactness with respect to them in particular. Applications in the areas of topology, topological groups and topological…

Category Theory · Mathematics 2007-05-23 Gábor Lukács

Convex relaxations of the optimal power flow (OPF) problem provide an efficient alternative to solving the intractable alternating current (AC) optimal power flow. The conic subset of OPF convex relaxations, in particular, greatly…

Optimization and Control · Mathematics 2024-11-27 Jean-Luc Lupien , Antoine Lesage-Landry

We investigate the existence of nonnegative solutions for a nonlinear problem involving the fractional p-Laplacian operator. The problem is set on a unbounded domain, and compactness issues have to be handled.

Analysis of PDEs · Mathematics 2014-04-23 Raquel Lehrer , Liliane A. Maia , Marco Squassina

This letter addresses the issue of linearization of quadratic thermal limits of transmission lines for linear OPF formulation. A new irregular polygon based linearization is proposed. The approach is purely based on geometrical concepts and…

Optimization and Control · Mathematics 2024-02-15 Parikshit Pareek , Ashu Verma

We describe a convex relaxation for the Gilbert-Steiner problem both in $R^d$ and on manifolds, extending the framework proposed in [9], and we discuss its sharpness by means of calibration type arguments. The minimization of the resulting…

Optimization and Control · Mathematics 2018-10-15 Mauro Bonafini , Édouard Oudet

In one of our earlier works, we proposed to approximate Pareto fronts to multiobjective optimization problems by two-sided approximations, one from inside and another from outside of the feasible objective set, called, respectively, lower…

Optimization and Control · Mathematics 2018-04-24 Ignacy Kaliszewski , Janusz Miroforidis

We show how to reduce the problem of solving members of a certain family of nonlinear differential equations to that of solving some corresponding linear differential equations.

General Mathematics · Mathematics 2023-05-10 Kerry M. Soileau

In this work we study convex relaxations of quadratic optimisation problems over permutation matrices. While existing semidefinite programming approaches can achieve remarkably tight relaxations, they have the strong disadvantage that they…

Optimization and Control · Mathematics 2018-08-01 Florian Bernard , Christian Theobalt , Michael Moeller

Some physical problems as flame front propagation or Laplacian growth without surface tension have nice analytical solutions which replace its complex integro-differential motion equations by simple differential equations of poles motion in…

Pattern Formation and Solitons · Physics 2007-05-23 Oleg Kupervasser

Convex relaxation methods have been studied and used extensively to obtain an optimal solution to the optimal power flow (OPF) problem. Meanwhile, convex relaxed power flow equations are also prerequisites for efficiently solving a wide…

Systems and Control · Computer Science 2017-10-24 Zhuang Tian , Wenchuan Wu

A time-variant analogue of an interpolation problem equivalent to the relaxed commutant lifting problem is introduced and studied. In a somewhat less general form the problem already appears in the analysis of the set of all solutions to…

Functional Analysis · Mathematics 2020-03-02 A. E. Frazho , S. ter Horst , M. A. Kaashoek

We claim to resolve the P=?NP problem via a formal argument for P=NP.

Computational Complexity · Computer Science 2007-05-23 Selmer Bringsjord , Joshua Taylor