58 citations · 145 across the 10 of their papers we have counts for
14 papers
Unit commitment constrained Nash equilibrium in power markets
Trine Krogh Boomsma, Mel T. Devine, Miguel F. Anjos
Equilibrium modeling for power markets usually assumes convexity of each players' optimization problem. Although the importance of accounting for fixed generation costs and start-u…
Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models
Steven Lamontagne, Margarida Carvalho, Emma Frejinger +3
We present a new model for finding the optimal placement of electric vehicle charging stations across a multi-period time frame so as to maximise electric vehicle adoption. Via the…
A Semidefinite Optimization-based Branch-and-Bound Algorithm for Several Reactive Optimal Power Flow Problems
Julie Sliwak, Miguel Anjos, Lucas Létocart +1
The Reactive Optimal Power Flow (ROPF) problem consists in computing an optimal power generation dispatch for an alternating current transmission network that respects power flow e…
Complexity of near-optimal robust versions of multilevel optimization problems
Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne
Near-optimality robustness extends multilevel optimization with a limited deviation of a lower level from its optimal solution, anticipated by higher levels. We analyze the complex…
Design and implementation of a modular interior-point solver for linear optimization
Miguel F. Anjos, Andrea Lodi, Mathieu Tanneau
This paper introduces the algorithmic design and implementation of Tulip, an open-source interior-point solver for linear optimization. It implements a regularized homogeneous inte…
Control of Two Energy Storage Units with Market Impact: Lagrangian Approach and Horizons
Miguel F. Anjos, James R. Cruise, Albert Solà Vilalta
Energy storage and demand-side response will play an increasingly important role in the future electricity system. We extend previous results on a single energy storage unit to the…
Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems
Julie Sliwak, Miguel Anjos, Lucas Létocart +2
Semidefinite Programming (SDP) provides tight lower bounds for Optimal Power Flow problems. However, solving large-scale SDP problems requires exploiting sparsity. In this paper, w…
Tight-and-cheap conic relaxation for the AC optimal power flow problem
Christian Bingane, Miguel F. Anjos, Sébastien Le Digabel
The classical alternating current optimal power flow problem is highly nonconvex and generally hard to solve. Convex relaxations, in particular semidefinite, second-order cone, con…
Robust Bilevel Optimization for Near-Optimal Lower-Level Solutions
Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne
Bilevel optimization problems embed the optimality of a subproblem as a constraint of another optimization problem. We introduce the concept of near-optimality robustness for bilev…
A Julia Module for Polynomial Optimization with Complex Variables applied to Optimal Power Flow
Julie Sliwak, Manuel Ruiz, Miguel F. Anjos +2
Many optimization problems in power transmission networks can be formulated as polynomial problems with complex variables. A polynomial optimization problem with complex variables…
CONICOPF: Conic relaxations for AC optimal power flow computations
Christian Bingane, Miguel F. Anjos, Sébastien Le Digabel
Computational speed and global optimality are key needs for practical algorithms for the optimal power flow problem. Two convex relaxations offer a favorable trade-off between the…
Tight-and-cheap conic relaxation for the optimal reactive power dispatch problem
Christian Bingane, Miguel F. Anjos, Sébastien Le Digabel
The optimal reactive power dispatch (ORPD) problem is an alternating current optimal power flow (ACOPF) problem where discrete control devices for regulating the reactive power, su…
A Bilevel Approach to Optimal Price-Setting of Time-and-Level-of-Use Tariffs
Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne +1
Time-and-Level-of-Use (TLOU) is a recently proposed pricing policy for energy, extending Time-of-Use with the addition of a capacity that users can book for a given time frame, red…
Product-Closing Approximation for Ranking-based Choice Network Revenue Management
Thibault Barbier, Miguel Anjos, Fabien Cirinei +1
Most recent research in network revenue management incorporates choice behavior that models the customers' buying logic. These models are consequently more complex to solve, but th…