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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 2018Show all

7 papers · 1 filter

eess.SY2018★ 17 cited

Online Learning for Network Constrained Demand Response Pricing in Distribution Systems

Robert Mieth, Yury Dvorkin

Flexible demand response (DR) resources can be leveraged to accommodate the stochasticity of some distributed energy resources. This paper develops an online learning approach that…

eess.SY2018

Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow

Ali Hassan, Robert Mieth, Michael Chertkov +2

Distribution system operators (DSO) world-wide foresee a rapid roll-out of distributed energy resources. From the system perspective, their reliable and cost effective integration…

math.OC2018★ 88 cited

Optimal Carbon Taxes for Emissions Targets in the Electricity Sector

Daniel J. Olsen, Yury Dvorkin, Ricardo Fernández-Blanco +1

The most dangerous effects of anthropogenic climate change can be mitigated by using emissions taxes or other regulatory interventions to reduce greenhouse gas (GHG) emissions. Thi…

eess.SP2018

Toward Coordinated Transmission and Distribution Operations

Mikhail Bragin, Yury Dvorkin

Proliferation of smart grid technologies has enhanced observability and controllability of distribution systems. If coordinated with the transmission system, resources of both syst…

eess.SP2018★ 4 cited

Enhancing Distribution Resilience with Mobile Energy Storage: A Progressive Hedging Approach

Jip Kim, Yury Dvorkin

Electrochemical energy storage (ES) units (e.g. batteries) have been field-validated as an efficient back-up resource that enhance resilience of the distribution system in case of…

eess.SY2018★ 74 cited

Chance Constraints for Improving the Security of AC Optimal Power Flow

Miles Lubin, Yury Dvorkin, Line Roald

This paper presents a scalable method for improving the solutions of AC Optimal Power Flow (AC OPF) with respect to deviations in predicted power injections from wind and other unc…

math.OC2018★ 83 cited

Data-Driven Distributionally Robust Optimal Power Flow for Distribution Systems

Robert Mieth, Yury Dvorkin

Increasing penetration of distributed energy resources complicate operations of electric power distribution systems by amplifying volatility of nodal power injections. On the other…