activity
20152023
most citedA Robust Approach to Chance Constrained Optimal Power Flow with Renewable Generation

243 citations · 1k across the 43 of their papers we have counts for

collaborators

55 papers

math.OC2023★ 1 cited

Incentivizing Investment and Reliability: A Study on Electricity Capacity Markets

Cheng Guo, Christian Kroer, Yury Dvorkin +1

The capacity market, a marketplace to exchange available generation capacity for electricity production, provides a major revenue stream for generators and is adopted in several U.…

eess.SY2023

MaDEVIoT: Cyberattacks on EV Charging Can Disrupt Power Grid Operation

Samrat Acharya, Hafiz Anwar Ullah Khan, Ramesh Karri +1

This paper examines the feasibility of demand-side cyberattacks on power grids launched via internet-connected high-power EV Charging Stations (EVCSs). By distorting power grid fre…

math.OC2023

Risk-Aware Security-Constrained Unit Commitment: Taming the Curse of Real-Time Volatility and Consumer Exposure

Daniel Bienstock, Yury Dvorkin, Cheng Guo +2

We propose an enhancement to wholesale electricity markets whereby the exposure of consumers to increasingly large and volatile consumer payments arising as a byproduct of volatile…

eess.SY2023★ 24 cited

Causative Cyberattacks on Online Learning-based Automated Demand Response Systems

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. Similarly, third-…

cs.LG2023★ 1 cited

A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study

Robert Ferrando, Laurent Pagnier, Robert Mieth +4

This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets. The proposed solution, named Physics-Informed Market-Awar…

math.OC2023

Data-Driven Inverse Optimization for Marginal Offer Price Recovery in Electricity Markets

Zhirui Liang, Yury Dvorkin

This paper presents a data-driven inverse optimization (IO) approach to recover the marginal offer prices of generators in a wholesale energy market. By leveraging underlying marke…

eess.SY2022★ 6 cited

Operational and Economy-Wide Impacts of Compound Cyberattacks and Extreme Weather Events on Electric Power Networks

Charalampos Avraam, Luis Ceferino, Yury Dvorkin

The growing frequencies of extreme weather events and cyberattacks give rise to a novel threat where a malicious cyber actor aims to disrupt stressed components of critical infrast…

eess.SY2022★ 2 cited

Granular Compensation, Information, and Carbon Pricing Promote DER Deployment

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. Current debates on DER policie…

eess.SY2022

Weather-Driven Flexibility Reserve Procurement: A NYISO Offshore Wind Power Case Study

Zhirui Liang, Robert Mieth, Yury Dvorkin +1

The growing penetration of variable renewable energy sources (VRES) requires additional flexibility reserve to ensure reliable power system operations. Current industry practice ty…

eess.SY2022

Markovian Decentralized Ensemble Control for Demand Response

Guanze Peng, Robert Mieth, Deepjyoti Deka +1

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 duri…

eess.SY2022

Machine Learning for Electricity Market Clearing

Laurent Pagnier, Robert Ferrando, Yury Dvorkin +1

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. The m…

cs.CY2022★ 2 cited

Outing Power Outages: Real-time and Predictive Socio-demographic Analytics for New York City

Samuel Eckstrom, Graham Murphy, Eileen Ye +3

Electrical outages continue to occur despite technological innovations and improvements to electric power distribution infrastructure. In this paper, we describe a tool that was de…

eess.SY2021

Inequitable Access to EV Charging Infrastructure

Hafiz Anwar Ullah Khan, Sara Price, Charalampos Avraam +1

Access to and affordability of electric vehicle (EV) charging infrastructure are the two prominent barriers for EV adoption. While major efforts are underway in the United States t…

eess.SY2021

Electricity Tariff Design via Lens of Energy Justice

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. Ele…

eess.SY2021

Operation-Adversarial Scenario Generation

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…

eess.SY2021★ 2 cited

Inertia Pricing in Stochastic Electricity Markets

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) i…

eess.SY2021

Cyber Insurance Against Cyberattacks on Electric Vehicle Charging Stations

Samrat Acharya, Robert Mieth, Charalambos Konstantinou +2

Cyberattacks in the energy sector are commonplace. Load-altering cyberattacks launched via the manipulations of high-wattage appliances and assets are particularly alarming, as the…

math.OC2021★ 3 cited

Electricity and Reserve Pricing in Chance-Constrained Electricity Markets with Asymmetric Balancing Reserve Policies

Alvaro Gonzalez-Castellanos, Anton Hinneck, Robert Mieth +2

Recently, chance-constrained stochastic electricity market designs have been proposed to address the shortcomings of scenario-based stochastic market designs. In particular, the us…

eess.SY2021★ 1 cited

Risk-Aware Dimensioning and Procurement of Contingency Reserve

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. This paper develops an iterative appr…

math.OC2021

The Value of Operational Coordination for EV Fleet Aggregators

Oluwaseun Oladimeji, David Pozo, Yury Dvorkin

The integration of energy systems such as electricity and gas grids and power and thermal grids can bring significant benefits in terms of system security, reliability, and reduced…

math.OC2021

Impact of Electric Vehicle Routing with Stochastic Demand on Grid Operation

Oluwaseun Oladimeji, Alvaro Gonzalez-Castellanos, David Pozo +2

Given the rise of electric vehicle (EV) adoption, supported by government policies and dropping technology prices, new challenges arise in the modeling and operation of electric tr…

eess.SY2021

Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach

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 syst…

eess.SY2021

TSO-DSO Operational Planning Coordination through "-Proximal" Surrogate Lagrangian Relaxation

Mikhail Bragin, Yury Dvorkin

The proliferation of distributed energy resources (DERs), located at the Distribution System Operator (DSO) level, bring new opportunities as well as new challenges to the operatio…

eess.SY2020★ 1 cited

On the Feasibility of Load-Changing Attacks in Power Systems during the COVID-19 Pandemic

Juan Ospina, XiaoRui Liu, Charalambos Konstantinou +1

The electric power grid is a complex cyberphysical energy system (CPES) in which information and communication technologies (ICT) are integrated into the operations and services of…