activity
20162022
most citedSolving realistic security-constrained optimal power flow problems

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

math.OC2022

An Optimization algorithm for nonsmooth nonconvex problems with upper-C^2 objective

Jingyi Wang, Cosmin G. Petra

An optimization algorithm for nonsmooth nonconvex constrained optimization problems with upper-C2 objective functions is proposed and analyzed. Upper-C2 is a weakly concave propert…

math.OC2022

A simplified nonsmooth nonconvex bundle method with applications to security-constrained ACOPF problems

Jingyi Wang, Cosmin G. Petra

An optimization algorithm for a group of nonsmooth nonconvex problems inspired by two-stage stochastic programming problems is proposed. The main challenges for these problems incl…

math.OC20212 cited

Solving realistic security-constrained optimal power flow problems

Cosmin G. Petra, Ignacio Aravena

We present a decomposition approach for obtaining good feasible solutions for the security-constrained alternating-current optimal power flow (SCACOPF) problem at an industrial sca…

math.OC2021

Another source of mesh dependence in topology optimization

Miguel A. Salazar de Troya, Geoffrey M. Oxberry, Cosmin G. Petra +1

The topology optimization community has regularly employed nonlinear programming (NLP) algorithms from the operations research community. However, these algorithms are implemented…

math.OC2018

Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms

Emil M. Constantinescu, Noemi Petra, Julie Bessac +1

This paper introduces a statistical treatment of inverse problems constrained by models with stochastic terms. The solution of the forward problem is given by a distribution repres…

math.OC2016

A Bayesian Approach for Parameter Estimation with Uncertainty for Dynamic Power Systems

Noemi Petra, Cosmin G. Petra, Zheng Zhang +2

We address the problem of estimating the uncertainty in the solution of power grid inverse problems within the framework of Bayesian inference. We investigate two approaches, an ad…