8 papers
Frequency-Domain Characterization of Load Demand from Electrified Highways
Ashutossh Gupta, Vassilis Kekatos, Ruoyu Yang +2
Electrified roadways (ER) equipped with dynamic wireless power transfer (DWPT) capabilities can patently extend the driving range and reduce the battery size of electric vehicles (…
Interpolatory Approximations of PMU Data: Dimension Reduction and Pilot Selection
Sean Reiter, Mark Embree, Serkan Gugercin +1
This work investigates the reduction of phasor measurement unit (PMU) data through low-rank matrix approximations. To reconstruct a PMU data matrix from fewer measurements, we prop…
Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power Flow
Thinh Viet Le, Mark M. Wilde, Vassilis Kekatos
Conic programs arise broadly in physics, quantum information, machine learning, and engineering, many of which are defined over sparse graphs. Although such problems can be solved…
Dynamic Modeling of Load Demand in Electrified Highways Based on the EV Composition
Ashutossh Gupta, Vassilis Kekatos, Dionysios Aliprantis +1
Electrified roadways (ERs) equipped with the dynamic wireless power transfer (DWPT) technology can achieve longer driving range and reduce on-board battery requirements for electri…
Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
Thinh Viet Le, Md Obaidur Rahman, Vassilis Kekatos
Interconnection studies require solving numerous instances of the AC load or power flow (AC PF) problem to simulate diverse scenarios as power systems navigate the ongoing energy t…
Solving Optimal Power Flow on a Data-Budget: Feature Selection on Smart Meter Data
Vassilis Kekatos, Ridley Annin, Manish K. Singh +1
How much data is needed to optimally schedule distributed energy resources (DERs)? Does the distribution system operator (DSO) have to know load demands at each bus of the feeder t…