4 citations · 5 across the 8 of their papers we have counts for
10 papers
Smoothed Two-Stage Decomposition Algorithm for Solving Large-Scale Transmission and Distribution AC-OPF Problems
Juan Ospina, Manuel Garcia, Xinyi Luo +3
The integration of distributed energy resources (DERs) into the power grid has introduced new challenges to AC optimal power flow (AC-OPF) problems. Traditional OPF optimize consid…
On the Convergence of Interior-Point Methods for Bound-Constrained Nonlinear Optimization Problems with Noise
Shima Dezfulian, Andreas Wächter
We analyze the convergence properties of a modified barrier method for solving bound-constrained optimization problems where evaluations of the objective function and its derivativ…
Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations with PowerModelsITD.jl
Juan Ospina, David M. Fobes, Russell Bent +1
Conventional electric power systems are composed of different unidirectional power flow stages of generation, transmission, and distribution, managed independently by transmission…
A Quadratically Convergent Sequential Programming Method for Second-Order Cone Programs Capable of Warm Starts
Xinyi Luo, Andreas Waechter
We propose a new method for linear second-order cone programs. It is based on the sequential quadratic programming framework for nonlinear programming. In contrast to interior poin…
Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition
Ignacio Aravena, Daniel K. Molzahn, Shixuan Zhang +12
The optimal power flow problem is central to many tasks in the design and operation of electric power grids. This problem seeks the minimum cost operating point for an electric pow…
Derivative-Free Bound-Constrained Optimization for Solving Structured Problems with Surrogate Models
Frank E. Curtis, Shima Dezfulian, Andreas Wächter
We propose and analyze a model-based derivative-free (DFO) algorithm for solving bound-constrained optimization problems where the objective function is the composition of a smooth…
A Versatile Optimization Framework For Sustainable Post-Disaster Building Reconstruction
Niloufar Izadinia, Elham Ramyar, Maytham Alzayer +8
This paper proposes an optimization framework for sustainable post-disaster building reconstruction. Based on mathematical optimization, it is intended to provide decision-makers w…
Solving Chance-Constrained Problems via a Smooth Sample-Based Nonlinear Approximation
Alejandra Peña-Ordieres, James R. Luedtke, Andreas Wächter
We introduce a new method for solving nonlinear continuous optimization problems with chance constraints. Our method is based on a reformulation of the probabilistic constraint as…
A Limited-Memory Quasi-Newton Algorithm for Bound-Constrained Nonsmooth Optimization
Nitish Shirish Keskar, Andreas Waechter
We consider the problem of minimizing a continuous function that may be nonsmooth and nonconvex, subject to bound constraints. We propose an algorithm that uses the L-BFGS quasi-Ne…
A Second-Order Method for Convex -Regularized Optimization with Active Set Prediction
Nitish Shirish Keskar, Jorge Nocedal, Figen Oztoprak +1
We describe an active-set method for the minimization of an objective function that is the sum of a smooth convex function and an -regularization term. A distinctive fe…