Search Results for author: Vladimir Dvorkin

Found 8 papers, 4 papers with code

Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework

no code implementations6 Dec 2023 Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, Alberto J. Lamadrid L., Audun Botterud

Furthermore, we find that when transmission capacity increases, the proposed bilevel model will still reduce the system cost, whereas the myopic strategy may incur a much higher cost due to over-scheduling of VRES in the day-ahead market and the lack of flexible conventional generators in real time.

Bilevel Optimization Scheduling

Agent Coordination via Contextual Regression (AgentCONCUR) for Data Center Flexibility

1 code implementation28 Sep 2023 Vladimir Dvorkin

A network of spatially distributed data centers can provide operational flexibility to power systems by shifting computing tasks among electrically remote locations.

regression

Price-Aware Deep Learning for Electricity Markets

no code implementations2 Aug 2023 Vladimir Dvorkin, Ferdinando Fioretto

While deep learning gradually penetrates operational planning, its inherent prediction errors may significantly affect electricity prices.

Fairness

Differentially Private Algorithms for Synthetic Power System Datasets

1 code implementation20 Mar 2023 Vladimir Dvorkin, Audun Botterud

While power systems research relies on the availability of real-world network datasets, data owners (e. g., system operators) are hesitant to share data due to security and privacy risks.

Privacy Preserving

A Scalable Bilevel Framework for Renewable Energy Scheduling

no code implementations25 Nov 2022 Dongwei Zhao, Vladimir Dvorkin, Stefanos Delikaraoglou, Alberto J. Lamadrid L., Audun Botterud

Accommodating the uncertain and variable renewable energy sources (VRES) in electricity markets requires sophisticated and scalable tools to achieve market efficiency.

Scheduling

Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach

no code implementations18 Sep 2022 Vladimir Dvorkin, Samuel Chevalier, Spyros Chatzivasileiadis

Gas network planning optimization under emission constraints prioritizes gas supply with the least CO$_2$ intensity.

Stochastic Control and Pricing for Natural Gas Networks

1 code implementation7 Oct 2020 Vladimir Dvorkin, Anubhav Ratha, Pierre Pinson, Jalal Kazempour

Furthermore, the chance-constrained optimization provides the foundation of a stochastic pricing scheme for natural gas networks, which improves on a deterministic market settlement by offering the compensations to network assets for their contribution to uncertainty and variance control.

Optimization and Control

Differentially Private Convex Optimization with Feasibility Guarantees

1 code implementation22 Jun 2020 Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson

This paper develops a novel differentially private framework to solve convex optimization problems with sensitive optimization data and complex physical or operational constraints.

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