no code implementations • 14 Nov 2023 • Thinh Viet Le, Vassilis Kekatos
Variational quantum approaches have shown great promise in finding near-optimal solutions to computationally challenging tasks.
1 code implementation • 2 Oct 2023 • Shaohui Liu, Hao Zhu, Vassilis Kekatos
Poorly damped oscillations pose threats to the stability and reliability of interconnected power systems.
no code implementations • 10 Jun 2023 • Jinlei Wei, Sarthak Gupta, Dionysios C. Aliprantis, Vassilis Kekatos
Deciding setpoints for distributed energy resources (DERs) via local control rules rather than centralized optimization offers significant autonomy.
no code implementations • 4 Jan 2023 • Sarthak Gupta, Ali Mehrizi-Sani, Spyros Chatzivasileiadis, Vassilis Kekatos
According to non-incremental control rules, such as the one mandated by the IEEE Standard 1547, the reactive power setpoint of each DER is computed as a piecewise-linear curve of the local voltage.
no code implementations • 17 Nov 2022 • Sarthak Gupta, Vassilis Kekatos, Spyros Chatzivasileiadis
This task of optimal rule design (ORD) is challenging as Volt/VAR rules introduce nonlinear dynamics, and lurk trade-offs between stability and steady-state voltage profiles.
no code implementations • 23 Oct 2022 • Ilgiz Murzakhanov, Sarthak Gupta, Spyros Chatzivasileiadis, Vassilis Kekatos
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 rules among other options.
1 code implementation • 22 Sep 2022 • Shaohui Liu, Hao Zhu, Vassilis Kekatos
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids.
no code implementations • 22 Jun 2022 • Deepjyoti Deka, Vassilis Kekatos, Guido Cavraro
Grid data from phasor measurement units or smart meters can be collected either passively in the traditional way, or actively, upon actuating grid resources and measuring the feeder's voltage response.
no code implementations • 23 Feb 2022 • Zain ul Abdeen, He Yin, Vassilis Kekatos, Ming Jin
In this paper, we examine an important problem of learning neural networks that certifiably meet certain specifications on input-output behaviors.
no code implementations • 15 Feb 2022 • Mana Jalali, Manish K. Singh, Vassilis Kekatos, Georgios B. Giannakis, Chen-Ching Liu
Adjusting inverter injection setpoints for distributed energy resources can be an effective grid control mechanism.
no code implementations • 28 Jan 2022 • Sina Taheri, Vassilis Kekatos, Harsha Veeramachaneni, Baosen Zhang
The feasible set of the aggregator is then approximated by an ellipsoid upon training a convex quadratic classifier using the labeled dataset.
no code implementations • 4 Dec 2021 • Sarthak Gupta, Sidhant Misra, Deepjyoti Deka, Vassilis Kekatos
Stochastic optimal power flow (SOPF) formulations provide a mechanism to handle these uncertainties by computing dispatch decisions and control policies that maintain feasibility under uncertainty.
no code implementations • 26 May 2021 • Mana Jalali, Vassilis Kekatos, Siddharth Bhela, Hao Zhu, Virgilio Centeno
Synchrophasor data provide unprecedented opportunities for inferring power system dynamics, such as estimating voltage angles, frequencies, and accelerations along with power injection at all buses.
no code implementations • 2 May 2021 • Sarthak Gupta, Vassilis Kekatos, Ming Jin
The trained DNNs can be driven by partial, noisy, or proxy descriptors of the current grid conditions.
1 code implementation • 12 Apr 2021 • Shaohui Liu, Hao Zhu, Vassilis Kekatos
Wide-area dynamic studies are of paramount importance to ensure the stability and reliability of power grids.
no code implementations • 27 Mar 2021 • Manish K. Singh, Vassilis Kekatos, Georgios B. Giannakis
To shift the computational burden from real-time to offline in delay-critical power systems applications, recent works entertain the idea of using a deep neural network (DNN) to predict the solutions of the AC optimal power flow (AC-OPF) once presented load demands.
no code implementations • 24 Mar 2021 • Manish K. Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos
Distributed control agents have been advocated as an effective means for improving the resiliency of our physical infrastructures under unexpected events.
no code implementations • 10 Jul 2018 • Aditie Garg, Mana Jalali, Vassilis Kekatos, Nikolaos Gatsis
Leveraging a linearized grid model and given anticipated data scenarios, inverter rules are jointly designed at the feeder level to minimize a convex combination of voltage deviations and ohmic losses via a linearly-constrained quadratic program.
no code implementations • 22 Jun 2018 • Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni
Once a probing setup is deemed topologically observable by the tests of Part I, Part II provides a methodology for designing probing injections abiding by inverter and network constraints to improve load estimates.
no code implementations • 22 Jun 2018 • Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni
Distribution grids currently lack comprehensive real-time metering.
no code implementations • 20 Dec 2016 • Siddharth Bhela, Vassilis Kekatos, Sriharsha Veeramachaneni
On the other hand, smart meter data, including local voltage magnitudes and power injections, are communicated to the utility operator from grid buses with renewable generation and demand-response programs.
no code implementations • 27 Jul 2015 • Dimitris Berberidis, Vassilis Kekatos, Georgios B. Giannakis
Linear regression is arguably the most prominent among statistical inference methods, popular both for its simplicity as well as its broad applicability.
no code implementations • 22 Oct 2014 • Vassilis Kekatos, Georgios B. Giannakis, Ross Baldick
Grid security and open markets are two major smart grid goals.
no code implementations • 2 Dec 2013 • Vassilis Kekatos, Georgios B. Giannakis, Ross Baldick
The potential of recovering the topology of a grid using solely publicly available market data is explored here.
no code implementations • 2 Oct 2013 • Vassilis Kekatos, Yu Zhang, Georgios B. Giannakis
The smart grid vision entails advanced information technology and data analytics to enhance the efficiency, sustainability, and economics of the power grid infrastructure.
1 code implementation • 4 Apr 2012 • Vassilis Kekatos, Georgios B. Giannakis
Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE).