235 citations · 635 across the 50 of their papers we have counts for
21 papers · 1 filter
Expediting AC Contingency Analysis using a Basecase Machine Learning Model
Md Obaidur Rahman, Vassilis Kekatos
Grid planning and operation under increasingly variable operating conditions require fast and accurate AC power flow (AC-PF) contingency analysis for numerous line outages. While M…
AC Power Flow Contingency Analysis Using a Single Deep Neural Network
Md Obaidur Rahman, Junjie Qin, Vassilis Kekatos
Contingency analysis using the AC power flow (AC-PF) model is a critical tool for accurate grid security assessment, but its computational burden increases with the number of opera…
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…
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…
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 (…
Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the AC Optimal Power Flow
Thinh Viet Le, Mark M. Wilde, Vassilis Kekatos
Conic programs arising in physics, quantum information, machine learning, and engineering are often defined over sparse graphs. Although such problems can be solved in polynomial 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…
Data-driven Forced Oscillation Localization using Inferred Impulse Responses
Shaohui Liu, Hao Zhu, Vassilis Kekatos
Poorly damped oscillations pose threats to the stability and reliability of interconnected power systems. In this work, we propose a comprehensive data-driven framework for inferri…
A Chance-Constrained Optimal Design of Volt/VAR Control Rules for Distributed Energy Resources
Jinlei Wei, Sarthak Gupta, Dionysios C. Aliprantis +1
Deciding setpoints for distributed energy resources (DERs) via local control rules rather than centralized optimization offers significant autonomy. The IEEE Standard 1547 recommen…
Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources
Ilgiz Murzakhanov, Sarthak Gupta, Spyros Chatzivasileiadis +1
The IEEE 1547 Standard for the interconnection of distributed energy resources (DERs) to distribution grids provisions that smart inverters could be implementing Volt/VAR control r…
Dynamic Response Recovery Using Ambient Synchrophasor Data: A Synthetic Texas Interconnection Case Study
Shaohui Liu, Hao Zhu, Vassilis Kekatos
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids. This paper puts forth a comprehensive framework for inferring the dyna…
Learning Neural Networks under Input-Output Specifications
Zain ul Abdeen, He Yin, Vassilis Kekatos +1
In this paper, we examine an important problem of learning neural networks that certifiably meet certain specifications on input-output behaviors. Our strategy is to find an inner…
Data-Driven Modeling of Aggregate Flexibility under Uncertain and Non-Convex Load Models
Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni +1
Bundling a large number of distributed energy resources through a load aggregator has been advocated as an effective means to integrate such resources into whole-sale energy market…
Inferring power system dynamics from synchrophasor data using Gaussian processes
Mana Jalali, Vassilis Kekatos, Siddharth Bhela +2
Synchrophasor data provide unprecedented opportunities for inferring power system dynamics, such as estimating voltage angles, frequencies, and accelerations along with power injec…
A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data
Shaohui Liu, Hao Zhu, Vassilis Kekatos
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids. The rising deployment synchrophasor and other sensing technologies has…
Ripple-Type Control for Enhancing Resilience of Networked Physical Systems
Manish K. Singh, Guido Cavraro, Andrey Bernstein +1
Distributed control agents have been advocated as an effective means for improving the resiliency of our physical infrastructures under unexpected events. Purely local control has…
Strategic Investment in Energy Markets: A Multiparametric Programming Approach
Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni
An investor has to carefully select the location and size of new generation units it intends to build, since adding capacity in a market affects the profit from units this investor…
Joint Grid Topology Reconfiguration and Design of Watt-VAR Curves for DERs
Manish K. Singh, Sina Taheri, Vassilis Kekatos +2
Operators can now remotely control switches and update the control settings for voltage regulators and distributed energy resources (DERs), thus unleashing the network reconfigurat…
PSSE Redux: Convex Relaxation, Decentralized, Robust, and Dynamic Approaches
Vassilis Kekatos, Gang Wang, Hao Zhu +1
This chapter aspires to glean some of the recent advances in power system state estimation (PSSE), though our collection is not exhaustive by any means. The Cram{é}r-Rao bound, a l…
Voltage Regulation Algorithms for Multiphase Power Distribution Grids
Vassilis Kekatos, Liang Zhang, Georgios B. Giannakis +1
Time-varying renewable energy generation can result in serious under-/over-voltage conditions in future distribution grids. Augmenting conventional utility-owned voltage regulating…
Ergodic Energy Management Leveraging Resource Variability in Distribution Grids
Gang Wang, Vassilis Kekatos, Antonio J. Conejo +1
Contemporary electricity distribution systems are being challenged by the variability of renewable energy sources. Slow response times and long energy management periods cannot eff…