Search Results for author: Yury Dvorkin

Found 20 papers, 0 papers with code

Multi-Objective Transmission Expansion: An Offshore Wind Power Integration Case Study

no code implementations16 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.

MaDEVIoT: Cyberattacks on EV Charging Can Disrupt Power Grid Operation

no code implementations10 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).

Causative Cyberattacks on Online Learning-based Automated Demand Response Systems

no code implementations27 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.

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

no code implementations11 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.

Bilevel Optimization

Granular Compensation, Information, and Carbon Pricing Promote DER Deployment

no code implementations5 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.

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

no code implementations1 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.

Markovian Decentralized Ensemble Control for Demand Response

no code implementations4 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.

Machine Learning for Electricity Market Clearing

no code implementations23 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.

BIG-bench Machine Learning

Inequitable Access to EV Charging Infrastructure

no code implementations9 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.

Electricity Tariff Design via Lens of Energy Justice

no code implementations19 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.

Fairness

Operation-Adversarial Scenario Generation

no code implementations5 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.

Generative Adversarial Network

Cyber Insurance Against Cyberattacks on Electric Vehicle Charging Stations

no code implementations8 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.

Inertia Pricing in Stochastic Electricity Markets

no code implementations8 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).

Risk-Aware Dimensioning and Procurement of Contingency Reserve

no code implementations31 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.

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

no code implementations19 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.

Privacy Preserving

TSO-DSO Operational Planning Coordination through "$l_1$-Proximal" Surrogate Lagrangian Relaxation

no code implementations25 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.

Assessing the Impact of Offshore Wind Siting Strategies on the Design of the European Power System

no code implementations15 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.

A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications

no code implementations5 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.

Data-Driven Learning and Load Ensemble Control

no code implementations20 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.

reinforcement-learning Reinforcement Learning (RL)

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