243 citations · 1k across the 43 of their papers we have counts for
37 papers · 1 filter
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…
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-…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Assessing the Impact of Offshore Wind Siting Strategies on the Design of the European Power System
David Radu, Mathias Berger, Antoine Dubois +5
This paper provides a detailed account of the impact of different offshore wind siting strategies on the design of the European power system. To this end, a two-stage method is pro…
Risk-Informed Participation in T&D Markets
Hafiz Anwar Ullah Khan, Jip Kim, Yury Dvorkin
Power producers can exhibit strategic behavior in electricity markets to maximize their profits. This behavior is more pronounced with the deregulation of distribution markets, whi…
Strategic Policymaking for Implementing Renewable Portfolio Standards: A Tri-level Optimization Approach
Jip Kim, Sylwia Bialek, Burcin Unel +1
Appropriately designed renewable support policies can play a leading role in promoting renewable expansions and contribute to low emission goals. Meanwhile, ill-designed policies m…
A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications
Ali Hassan, Samrat Acharya, Michael Chertkov +2
Due to proliferation of energy efficiency measures and availability of the renewable energy resources, traditional energy infrastructure systems (electricity, heat, gas) can no lon…
Risk Trading in a Chance-Constrained Stochastic Electricity Market
Robert Mieth, Matt Roveto, Yury Dvorkin
Existing electricity market designs assume risk neutrality and lack risk-hedging instruments, which leads to suboptimal market outcomes and reduces the overall market efficiency. T…
Data-Driven Learning and Load Ensemble Control
Ali Hassan, Deepjyoti Deka, Michael Chertkov +1
Demand response (DR) programs aim to engage distributed small-scale flexible loads, such as thermostatically controllable loads (TCLs), to provide various grid support services. Li…
Co-Control of VaR and CVaR forData-Driven Stochastic Demand Response Auction
Matt Roveto, Robert Mieth, Yury Dvorkin
The ability to make optimal decisions under uncertainty remains important across a variety of disciplines from portfolio management to power engineering. This generally implies app…
Computing a Strategic Decarbonization Pathway: A Chance-Constrained Equilibrium Problem
Jip Kim, Robert Mieth, Yury Dvorkin
US transmission systems and wholesale electricity markets, albeit federally regulated, often span across multiple state jurisdictions. In this environment, state regulators can str…