4 papers
A Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities
Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
We propose an accelerated algorithm with a Frank-Wolfe method as an oracle for solving strongly monotone variational inequality problems. While standard solution approaches, such a…
Sequential feedback optimization with application to wind farm control
Shijie Huang, Sergio Grammatico
This paper develops a sequential-linearization feedback optimization framework for driving nonlinear dynamical systems to an optimal steady state. A fundamental challenge in feedba…
User-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model
Arghya Mallick, Georgios Pantazis, Mohammad Khosravi +2
We propose a data-driven, user-centric vehicle-to-grid (V2G) methodology based on multi-objective optimization to balance battery degradation and V2G revenue according to EV user p…
A User-centric Game for Balancing V2G Benefits with Battery Degradation of Electric Vehicles
Arghya Mallick, Georgios Pantazis, Peyman Mohajerin Esfahani +1
We present a novel user-centric vehicle-to-grid (V2G) framework that enables electric vehicle (EV) users to balance the trade-off between financial benefits from V2G and battery he…