no code implementations • 16 Nov 2023 • Saroj Khanal, Christoph Graf, Zhirui Liang, Yury Dvorkin, Burçin Ünel
Utilizing an 8-zone ISO-NE test system and a 9-zone PJM test system, we explore grid expansion sensitivities, onshore and offshore, due to offshore wind integration, including impacts of optimizing Points of Interconnection (POIs) versus fixed POIs, negative externalities, and consideration of extreme operational scenarios.
no code implementations • 10 Nov 2023 • Samrat Acharya, Hafiz Anwar Ullah Khan, Ramesh Karri, Yury Dvorkin
This paper examines the feasibility of demand-side cyberattacks on power grids launched via internet-connected high-power EV Charging Stations (EVCSs).
no code implementations • 27 Jul 2023 • Samrat Acharya, Yury Dvorkin, Ramesh Karri
Power utilities are adopting Automated Demand Response (ADR) to replace the costly fuel-fired generators and to preempt congestion during peak electricity demand.
no code implementations • 31 Mar 2023 • Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets.
no code implementations • 11 Sep 2022 • Charalampos Avraam, Luis Ceferino, Yury Dvorkin
In this paper, we initiate the study of Compound Cyber-Physical Threats and develop a two-stage framework for the analysis of operational disruptions in electric power networks and economy-wide impacts under three scenarios: a Heatwave, a Cyberattack, and a Compound scenario when the Cyberattack is timed with the Heatwave.
no code implementations • 5 Sep 2022 • Hafiz Anwar Ullah Khan, Burçin Ünel, Yury Dvorkin
The socially efficient deployment of Distributed Energy Resources (DERs), e. g., rooftop solar, depends on the underlying retail electricity policies.
no code implementations • 1 Sep 2022 • Zhirui Liang, Robert Mieth, Yury Dvorkin, Miguel A. Ortega-Vazquez
To address this, probability- and risk-based reserve sizing models have been proposed, which use probabilistic VRES power forecasts that mostly rely on historical forecast and actual VRES power data for model training.
no code implementations • 4 Jun 2022 • Guanze Peng, Robert Mieth, Deepjyoti Deka, Yury Dvorkin
With the advancement in smart grid and smart energy devices, demand response becomes one of the most economic and feasible solutions to ease the load stress of the power grids during peak hours.
no code implementations • 23 May 2022 • Laurent Pagnier, Robert Ferrando, Yury Dvorkin, Michael Chertkov
This paper seeks to design a machine learning twin of the optimal power flow (OPF) optimization, which is used in market-clearing procedures by wholesale electricity markets.
no code implementations • 9 Nov 2021 • Hafiz Anwar Ullah Khan, Sara Price, Charalampos Avraam, Yury Dvorkin
Access to and affordability of electric vehicle (EV) charging infrastructure are the two prominent barriers for EV adoption.
no code implementations • 19 Oct 2021 • Hafiz Anwar Ullah Khan, Burcin Unel, Yury Dvorkin
Distributed Energy Resources (DERs) can significantly affect the net social benefit in power systems, raising concerns pertaining to distributive justice, equity, and fairness.
no code implementations • 5 Oct 2021 • Zhirui Liang, Robert Mieth, Yury Dvorkin
This paper proposes a modified conditional generative adversarial network (cGAN) model to generate net load scenarios for power systems that are statistically credible, conditioned by given labels (e. g., seasons), and, at the same time, "stressful" to the system operations and dispatch decisions.
no code implementations • 8 Jul 2021 • Samrat Acharya, Robert Mieth, Charalambos Konstantinou, Ramesh Karri, Yury Dvorkin
In this paper, we propose cyber insurance for EVCSs to hedge the economic loss due to such cyberattacks and develop a data-driven cyber insurance design model for public EVCSs.
no code implementations • 8 Jul 2021 • Zhirui Liang, Robert Mieth, Yury Dvorkin
Maintaining the stability of renewable-dominant power systems requires the procurement of virtual inertia services from non-synchronous resources (e. g., batteries, wind turbines) in addition to inertia traditionally provided by synchronous resources (e. g., thermal generators).
no code implementations • 31 May 2021 • Robert Mieth, Yury Dvorkin, Miguel A. Ortega-Vazquez
Current contingency reserve criteria ignore the likelihood of individual contingencies and, thus, their impact on system reliability and risk.
no code implementations • 19 Mar 2021 • Ali Hassan, Deepjyoti Deka, Yury Dvorkin
Demand response (DR) programs engage distributed demand-side resources, e. g., controllable residential and commercial loads, in providing ancillary services for electric power systems.
no code implementations • 25 Jan 2021 • Mikhail Bragin, Yury Dvorkin
Difficulties behind creating such TSO-DSO coordination include the combinatorial nature of the operational planning problem involved at the transmission level as well as the nonlinearity of AC power flow within both systems.
no code implementations • 15 Nov 2020 • David Radu, Mathias Berger, Antoine Dubois, Raphael Fonteneau, Hrvoje Pandzic, Yury Dvorkin, Quentin Louveaux, Damien Ernst
In addition, two variants of these siting schemes are provided, wherein the number of sites to be selected is specified on a country-by-country basis rather than Europe-wide.
no code implementations • 5 May 2020 • Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
Due to proliferation of energy efficiency measures and availability of the renewable energy resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be operated in a centralized manner under the assumption that consumer behavior is inflexible, i. e. cannot be adjusted in return for an adequate incentive.
no code implementations • 20 Apr 2020 • Ali Hassan, Deepjyoti Deka, Michael Chertkov, Yury Dvorkin
Demand response (DR) programs aim to engage distributed small-scale flexible loads, such as thermostatically controllable loads (TCLs), to provide various grid support services.