74 citations · 246 across the 43 of their papers we have counts for
48 papers
Hardware-Aware QUBO Reformulation of Constrained Binary Optimization via the Walsh-Fourier Transform
Loong Kuan Lee, Harsha Nagarajan, Thore Gerlach +3
We present a novel slack-free, penalty-based framework for reformulating constrained binary optimization as Quadratic Unconstrained Binary Optimization (QUBO) on near-term quantum…
Efficient Graph Partitioning under Resource Constraints: A Cutting-Plane Framework for Distribution Grids
Duong Thuy Anh Nguyen, Harsha Nagarajan, Robert Ferrando +2
This paper presents an optimal network topology control framework using cutting-plane methods for efficient network partitioning with controllable edges. The objective is to enable…
Load Block Modeling in Distribution Systems: Network Reconfiguration for Load Restoration
David M. Fobes, Harsha Nagarajan, Manuel Garcia +2
The distribution system restoration (DSR) problem has received considerable attention over the last decade or more. Solutions to the DSR problem identify the best set or sequence o…
Multi-Region Optimal Energy Storage Arbitrage
Md Umar Hashmi, Harsha Nagarajan, Dirk Van Hertem1
The increasing interconnection of power systems through AC and DC links enables energy storage units to access multiple electricity markets yet most existing arbitrage models remai…
A Hybrid Decomposition Approach for Stochastic Unit Commitment with Combined-Cycle Generators
Rosemary Barrass, Harsha Nagarajan, Mathieu Tanneau +2
The U.S. power grid is undergoing a paradigm shift as energy demand grows in scale and volatility. In response to this growing need, the U.S. has increased adoption of combined-cyc…
Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids
Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka +1
The adversarial worst-case load shedding (AWLS) problem is pivotal for identifying critical contingencies under line outages. It is naturally cast as a bilevel program: the upper l…
Provably Optimal Quantum Circuits with Mixed-Integer Programming
Harsha Nagarajan, Zsolt Szabó
We present a depth-aware optimization framework for quantum circuit compilation that unifies provable optimality with scalable heuristics. For exact synthesis of a target unitary,…
Hierarchical Semi-Markov Models with Duration-Aware Dynamics for Activity Sequences
Rohit Dube, Natarajan Gautam, Amarnath Banerjee +1
Residential electricity demand at granular scales is driven by what people do and for how long. Accurately forecasting this demand for applications like microgrid management and de…
Optimal Trajectory Planning for Space Object Tracking with Collision-Avoidance Constraints
Saif R. Kazi, Harsha Nagarajan, Hassan Hijazi +1
A control optimization approach is presented for a chaser spacecraft tasked with maintaining proximity to a target space object while avoiding collisions. The target object traject…
Reconfiguration and Real-Time Operation of Networked Microgrids Under Load Uncertainty
Hannah Moring, Bala Kameshwar Poolla, Harsha Nagarajan +3
Distribution networks are increasingly exposed to threats such as extreme weather, aging infrastructure, and cyber risks--resulting in more frequent contingencies and outages, a tr…
Leveraging Quantum Computing for Accelerated Classical Algorithms in Power Systems Optimization
Rosemary Barrass, Harsha Nagarajan, Carleton Coffrin
The recent advent of commercially available quantum annealing hardware (QAH) has expanded opportunities for research into quantum annealing-based algorithms. In the domain of power…
Spectral Graph Theoretic Methods for Enhancing Network Robustness in Robot Localization
Neelkamal Somisetty, Harsha Nagarajan, Swaroop Darbha
This paper addresses the optimization of edge-weighted networks by maximizing algebraic connectivity to enhance network robustness. Motivated by the need for precise robot position…
Robust Partitioning and Operation for Maximal Uncertain-Load Delivery in Distribution Grids
Hannah Moring, Harsha Nagarajan, Kshitij Girigoudar +2
To mitigate the vulnerability of distribution grids to severe weather events, some electric utilities use preemptive de-energization as the primary line of defense, causing signifi…
Exploring Non-Linear Programming Formulations in QuantumCircuitOpt for Optimal Circuit Design
Elena R. Henderson, Harsha Nagarajan, Carleton Coffrin
Given the limitations of current hardware, the theoretical gains promised by quantum computing remain unrealized across practical applications. But the gap between theory and hardw…
Multi-market Optimal Energy Storage Arbitrage with Capacity Blocking for Emergency Services
Md Umar Hashmi, Stephen Hardy, Dirk Van Hertem +1
The future power system is increasingly interconnected via both AC and DC interconnectors. These interconnectors establish links between previously decoupled energy markets. In thi…
Learning for Interval Prediction of Electricity Demand: A Cluster-based Bootstrapping Approach
Rohit Dube, Natarajan Gautam, Amarnath Banerjee +1
Accurate predictions of electricity demands are necessary for managing operations in a small aggregation load setting like a Microgrid. Due to low aggregation, the electricity dema…
Optimal Robust Network Design: Formulations and Algorithms for Maximizing Algebraic Connectivity
Neelkamal Somisetty, Harsha Nagarajan, Swaroop Darbha
This paper focuses on designing edge-weighted networks, whose robustness is characterized by maximizing algebraic connectivity, or the second smallest eigenvalue of the Laplacian m…
Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPs
Rohit Kannan, Harsha Nagarajan, Deepjyoti Deka
We learn optimal instance-specific heuristics for the global minimization of nonconvex quadratically-constrained quadratic programs (QCQPs). Specifically, we consider partitioning-…
Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem
Cheng Guo, Harsha Nagarajan, Merve Bodur
The Alternating Current Optimal Transmission Switching (ACOTS) problem incorporates line switching decisions into the AC Optimal Power Flow (ACOPF) framework, offering well-known b…
QuantumCircuitOpt: An Open-source Framework for Provably Optimal Quantum Circuit Design
Harsha Nagarajan, Owen Lockwood, Carleton Coffrin
In recent years, the quantum computing community has seen an explosion of novel methods to implement non-trivial quantum computations on near-term hardware. An important direction…
Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach
Minseok Ryu, Harsha Nagarajan, Russell Bent
Severe geomagnetic disturbances (GMDs) increase the magnitude of the electric field on the Earth's surface (E-field) and drive geomagnetically-induced currents (GICs) along the tra…
Efficient Topology Design Algorithms for Power Grid Stability
Siddharth Bhela, Harsha Nagarajan, Deepjyoti Deka +1
The dynamic response of power grids to small disturbances influences their overall stability. This paper examines the effect of network topology on the linearized time-invariant dy…
Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids
Minseok Ryu, Harsha Nagarajan, Russell Bent
Geomagnetic disturbances (GMDs), a result of space weather, pose a severe risk to electric grids. When GMDs occur, they can cause geomagnetically-induced currents (GICs), which sat…
Sequence of Polyhedral Relaxations for Nonlinear Univariate Functions
Kaarthik Sundar, Sujeevraja Sanjeevi, Harsha Nagarajan
Given a nonlinear, univariate, bounded, and differentiable function , this article develops a sequence of Mixed Integer Linear Programming (MILP) and Linear Programming (LP)…