7 citations · 17 across the 5 of their papers we have counts for
7 papers
Distributionally Robust Optimization for a Resilient Transmission Grid During Geomagnetic Disturbances
Mowen Lu, Sandra D. Eksioglu, Scott J. Mason +2
In recent years, there have been increasing concerns about the impacts of geomagnetic disturbances (GMDs) on electrical power systems. Geomagnetically-induced currents (GICs) can s…
Optimization-Based Bound Tightening using a Strengthened QC-Relaxation of the Optimal Power Flow Problem
Kaarthik Sundar, Harsha Nagarajan, Sidhant Misra +3
This article develops a strengthened convex quadratic convex (QC) relaxation of the AC Optimal Power Flow (AC-OPF) problem and presents an optimization-based bound-tightening (OBBT…
Algorithms for Optimal Topology Design, Placement, Sizing and Operation of Distributed Energy Resources in Resilient Off-grid Microgrids
Sreenath Chalil Madathil, Harsha Nagarajan, Russell Bent +3
Power distribution in remote communities often depends on off-grid microgrids. In order to address the reliability challenges for these microgrids, we develop a mathematical model…
Tight Piecewise Convex Relaxations for Global Optimization of Optimal Power Flow
Mowen Lu, Harsha Nagarajan, Russell Bent +2
Since the alternating current optimal power flow (ACOPF) problem was introduced in 1962, developing efficient solution algorithms for the problem has been an active field of resear…
An Adaptive, Multivariate Partitioning Algorithm for Global Optimization of Nonconvex Programs
Harsha Nagarajan, Mowen Lu, Site Wang +2
In this work, we develop an adaptive, multivariate partitioning algorithm for solving mixed-integer nonlinear programs (MINLP) with multi-linear terms to global optimality. This it…
Optimal Transmission Line Switching under Geomagnetic Disturbances
Mowen Lu, Harsha Nagarajan, Emre Yamangil +3
In recent years, there have been increasing concerns about how geomagnetic disturbances (GMDs) impact electrical power systems. Geomagnetically-induced currents (GICs) can saturate…
Tightening McCormick Relaxations for Nonlinear Programs via Dynamic Multivariate Partitioning
Harsha Nagarajan, Mowen Lu, Emre Yamangil +1
In this work, we propose a two-stage approach to strengthen piecewise McCormick relaxations for mixed-integer nonlinear programs (MINLP) with multi-linear terms. In the first stage…