Yury Dvorkin

New York University

Mathematical optimizationEngineeringControl engineeringEnergy storageElectric power system

58Publications

16H-index

1,030Citations

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Publications 65

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#1Robert MiethH-Index: 2

Last. Yury DvorkinH-Index: 16

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Existing electricity market designs assume risk neutrality and lack risk-hedging instruments, which leads to suboptimal market outcomes and reduces the overall market efficiency. This paper enables risk-trading in the chance-constrained stochastic electricity market by introducing Arrow-Debreu Securities (ADS) and derives a risk-averse market-clearing model with risk trading. To enable risk trading, the probability space of underlying uncertainty is discretized in a finite number of outcomes, wh...

#2Robert MiethH-Index: 2

Last. Yury DvorkinH-Index: 16

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The ability to make optimal decisions under uncer-tainty remains important across a variety of disciplines fromportfolio management to power engineering. This generallyimplies applying some safety margins on uncertain parametersthat may only be observable through a finite set of historicalsamples. Nevertheless, the optimized decisions must be resilientto all probable outcomes, while ideally providing some measure ofseverity of any potential violations in the less probable this http URL is known ...

#1Jip KimH-Index: 4

#2Robert MiethH-Index: 2

Last. Yury DvorkinH-Index: 16

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US transmission systems and wholesale electricity markets, albeit federally regulated, often span across multiple state jurisdictions. In this environment, state regulators can strategically exploit this techno-economic coupling to advance their clean energy policy goals at the expense of neighboring jurisdictions. This paper investigates strategic regulatory competition to understand its effect on achieving Renewable Portfolio Standards (RPS). We formulate a chance-constrained equilibrium probl...

#1Jip KimH-Index: 4

#2Yury DvorkinH-Index: 16

Peer-to-peer interactions between small-scale energy resources exploit distribution network infrastructure as an electricity carrier, but remain financially unaccountable to electric power utilities. This status-quo raises multiple challenges. First, peer-to-peer energy trading reduces the portion of electricity supplied to end-customers by utilities and their revenue streams. Second, utilities must ensure that peer-to-peer transactions comply with distribution network limits. This paper propose...

Efficiently accommodating uncertain renewable resources in wholesale electricity markets is among the foremost priorities of market regulators in the US, UK and EU nations. However, existing deterministic market designs fail to internalize the uncertainty and their scenario-based stochastic extensions are limited in their ability to simultaneously maximize social welfare and guarantee non-confiscatory market outcomes in expectation and per each scenario. This paper proposes a chance-constrained ...

#1Ali HassanH-Index: 3

#2Robert MiethH-Index: 2

Last. Yury DvorkinH-Index: 16

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Demand response (DR) programs aim to engage distributed demand-side resources in providing ancillary services for electric power systems. Previously, aggregated thermostatically controlled loads (TCLs) have been demonstrated as a technically viable and economically valuable provider of such services that can effectively compete with conventional generation resources in reducing load peaks and smoothing demand fluctuations. Yet, to provide these services at scale, a large number of TCLs must be a...

#1Robert Mieth (Technical University of Berlin)H-Index: 2

#2Yury Dvorkin (NYU: New York University)H-Index: 16

Distribution locational marginal prices (DLMPs) facilitate the efficient operation of low-voltage electric power distribution systems. We propose an approach to internalize the stochasticity of renewable distributed energy resources (DERs) and risk tolerance of the distribution system operator in DLMP computations. This is achieved by means of applying conic duality to a chance-constrained AC optimal power flow. We show that the resulting DLMPs consist of the terms that allow to itemize the pric...

#1Robert MiethH-Index: 2

#2Jip KimH-Index: 4

Last. Yury DvorkinH-Index: 16

view all 3 authors...

The roll-out of stochastic renewable energy sources (RES) undermines the efficiency of power system and market operations. This paper proposes an approach to derive electricity prices that internalize RES stochasticity. We leverage a chance-constrained AC Optimal Power Flow (CC AC-OPF) model, which is robust against RES uncertainty and is also aware of the resulting variability (variance) of the system state variables. Using conic duality theory, we derive and analyze energy and balancing reserv...

#1Matt Roveto (NYU: New York University)

#2Yury Dvorkin (NYU: New York University)H-Index: 16

The roll-out of distributed energy resources (DERs) challenges the current operating practice of distribution utilities due to increased volatility and uncertainty of nodal power injections. Furthermore, many DERs are independently-owned and, therefore, will likely be operated without cooperation with a local utility. This combination of uncertainty and self-interest can motivate DERs to act strategically in future distribution (retail) markets to maximize their payoff. Without assuming a partic...

#1Jip Kim (NYU: New York University)H-Index: 4

#2Yury Dvorkin (NYU: New York University)H-Index: 16

Electrochemical energy storage (ES) units ( e.g. , batteries) have been field-validated as an efficient back-up resource that enhances resilience of distribution systems. However, using these units for resilience is insufficient to justify their installation economically and, therefore, these units are often installed in locations where they yield the greatest economic value during normal operations. Motivated by the recent progress in mobile ES technologies, i.e. , ES units can be moved using p...

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