Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Dvorkin, Vladimir"'
Dynamic line rating (DLR) is a promising solution to increase the utilization of transmission lines by adjusting ratings based on real-time weather conditions. Accurate DLR forecast at the scheduling stage is thus necessary for system operators to pr
Externí odkaz:
http://arxiv.org/abs/2411.12963
Autor:
Dvorkin, Vladimir
Renewable power producers participating in electricity markets build forecasting models independently, relying on their own data, model and feature preferences. In this paper, we argue that in renewable-dominated markets, such an uncoordinated approa
Externí odkaz:
http://arxiv.org/abs/2405.17753
Autor:
Kenis, Michiel, Dvorkin, Vladimir, Schittekatte, Tim, Bruninx, Kenneth, Delarue, Erik, Botterud, Audun
Policy makers are formulating offshore energy infrastructure plans, including wind turbines, electrolyzers, and HVDC transmission lines. An effective market design is crucial to guide cost-efficient investments and dispatch decisions. This paper join
Externí odkaz:
http://arxiv.org/abs/2405.13169
Autor:
Zhao, Dongwei, Dvorkin, Vladimir, Delikaraoglou, Stefanos, L., Alberto J. Lamadrid, Botterud, Audun
This work proposes an uncertainty-informed bid adjustment framework for integrating variable renewable energy sources (VRES) into electricity markets. This framework adopts a bilevel model to compute the optimal VRES day-ahead bids. It aims to minimi
Externí odkaz:
http://arxiv.org/abs/2312.03868
Autor:
Dvorkin, Vladimir
A network of spatially distributed data centers can provide operational flexibility to power systems by shifting computing tasks among electrically remote locations. However, harnessing this flexibility in real-time through the standard optimization
Externí odkaz:
http://arxiv.org/abs/2309.16792
While deep learning gradually penetrates operational planning, its inherent prediction errors may significantly affect electricity prices. This letter examines how prediction errors propagate into electricity prices, revealing notable pricing errors
Externí odkaz:
http://arxiv.org/abs/2308.01436
Autor:
Dvorkin, Vladimir, Botterud, Audun
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. To control these risks, we develop privacy-preserving algorithm
Externí odkaz:
http://arxiv.org/abs/2303.11079
Autor:
Zhao, Dongwei, Dvorkin, Vladimir, Delikaraoglou, Stefanos, L., Alberto J. Lamadrid, Botterud, Audun
Accommodating the uncertain and variable renewable energy sources (VRES) in electricity markets requires sophisticated and scalable tools to achieve market efficiency. To account for the uncertain imbalance costs in the real-time market while remaini
Externí odkaz:
http://arxiv.org/abs/2211.13905
Autor:
Dvorkin, Vladimir, Fioretto, Ferdinando, Van Hentenryck, Pascal, Pinson, Pierre, Kazempour, Jalal
Convex optimization finds many real-life applications, where--optimized on real data--optimization results may expose private data attributes (e.g., individual health records, commercial information), thus leading to privacy breaches. To avoid these
Externí odkaz:
http://arxiv.org/abs/2209.14152
Gas network planning optimization under emission constraints prioritizes gas supply with the least CO$_2$ intensity. As this problem includes complex physical laws of gas flow, standard optimization solvers cannot guarantee convergence to a feasible
Externí odkaz:
http://arxiv.org/abs/2209.08645