3 citations · 4 across the 13 of their papers we have counts for
14 papers
Mixed-Integer Nonlinear Differentiable Predictive Control for Underground Pumped Hydro Energy Storage Systems
Honghui Zheng, Ján Boldocký, Yury Dvorkin +1
This paper extends Mixed-Integer Differentiable Predictive Control (MI-DPC) to multi-modal discrete decisions and nonconvex polynomial dynamics arising in Underground Pumped Hydro…
Cross-Atlantic Research Agenda for Scalable Grid Architectures and Distributed Flexibility
Mads R. Almassalkhi, Dakota Hamilton, Hasan Giray Oral +10
Electric power systems are rapidly evolving into deeply digital, cyber-physical infrastructures in which large fleets of distributed energy resources must be coordinated as system-…
L2O-CCG: Adversarial Learning with Set Generalization for Adaptive Robust Optimization
Zhiyi Zhou, Ján Drgoňa, Yury Dvorkin
The adversarial subproblem in two-stage adaptive robust optimization (ARO), which identifies the worst-case uncertainty realization, is a major computational bottleneck. This diffi…
Reachability Guarantees for Energy Arbitrage
Tomás Tapia, Yury Dvorkin
Batteries performing energy arbitrage may overdischarge ahead of a high-demand or critical operating hour when they re-optimize in real time and depart from the day-ahead schedule.…
Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning
Honghui Zheng, Pietro Favaro, Yury Dvorkin +1
Underground pumped hydro energy storage (UPHES) systems play a critical role in grid-scale energy storage for renewable integration, yet optimal day-ahead scheduling remains comput…
Learning Reachability of Energy Storage Arbitrage
Tomás Tapia, Agustin Castellano, Enrique Mallada +1
Power systems face increasing weather-driven variability and, therefore, increasingly rely on flexible but energy-limited storage resources. Energy storage can buffer this variabil…
Generation Expansion Planning with Upstream Supply Chain Constraints on Materials, Manufacturing, and Deployment
Boyu Yao, Andrey Bernstein, Yury Dvorkin
Rising electricity demand underscores the need for secure and reliable generation expansion planning that accounts for upstream supply chain constraints. Traditional models often o…
Unlocking Transmission Flexibility under Uncertainty: Getting Dynamic Line Ratings into Electricity Markets
Zhiyi Zhou, Christoph Graf, Yury Dvorkin
Static transmission line ratings may lead to underutilization of line capacity due to overly conservative assumptions. Grid-enhancing technologies (GETs) such as dynamic line ratin…
Decision-Focused Learning for Neural Network-Constrained HVAC Scheduling
Pietro Favaro, Jean-François Toubeau, François Vallée +1
Heating, Ventilation, and Air Conditioning (HVAC) is a major electricity end-use with a substantial potential for providing grid services, such as demand response. Harnessing this…
Decision-Focused Learning for Complex System Identification: HVAC Management System Application
Pietro Favaro, Jean-François Toubeau, François Vallée +1
As opposed to conventional training methods tailored to minimize a given statistical metric or task-agnostic loss (e.g., mean squared error), Decision-Focused Learning (DFL) trains…
Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach
Zhirui Liang, Qi Li, Anqi Liu +1
This paper presents an end-to-end framework for calibrating wind power forecast models to minimize operational costs in two-stage power markets, where the first stage involves a di…
Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation
Zhirui Liang, Qi Li, Joshua Comden +2
Information asymmetry between the Distribution System Operator (DSO) and Distributed Energy Resource Aggregators (DERAs) obstructs designing effective incentives for voltage regula…
Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization
Qi Li, Zhirui Liang, Andrey Bernstein +1
This paper introduces Inverse Distributionally Robust Optimization (I-DRO) as a method to infer the conservativeness level of a decision-maker, represented by the size of a Wassers…
Multi-Objective Transmission Expansion: An Offshore Wind Power Integration Case Study
Saroj Khanal, Christoph Graf, Zhirui Liang +2
Despite ambitious offshore wind targets in the U.S. and globally, offshore grid planning guidance remains notably scarce, contrasting with well-established frameworks for onshore g…