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

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Showing 2020Show all

9 papers · 1 filter

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…

eess.SY2020

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…

eess.SY2020★ 5 cited

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…

eess.SY2020★ 2 cited

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…

eess.SY2020★ 1 cited

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…

eess.SY2020★ 19 cited

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…

eess.SY2020

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…

eess.SY2020

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…

eess.SY2020★ 1 cited

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…