6 papers
Enhancing Interpretability of Stochastic Programming Solutions: A Multiparametric Approach
Parth Brahmbhatt, Styliani Avraamidou
Stochastic programming (SP) is a powerful framework for decision-making under uncertainty, but its practical adoption in industry is often hindered by the difficulty in understandi…
Multi-Agent Receding Horizon Games Framework for Autonomous Market Participation
Parth Brahmbhatt, Styliani Avraamidou
Electrochemical distributed energy resources (DERs), such as electrolyzers and battery energy storage systems, consume large amounts of electricity. Buying that power directly from…
Explicit Distributed MPC: Reducing Computation and Communication Load by Exploiting Facet Properties
Parth R. Brahmbhatt, Hari S. Ganesh, Styliani Avraamidou
Classical Distributed Model Predictive Control (DiMPC) requires multiple iterations to achieve convergence, leading to high computational and communication burdens. This work focus…
Parametric Region Search: A Mixed-Integer Bilevel Optimization Problem Primal Heuristic
Meng-Lin Tsai, Parth Brahmbhatt, Styliani Avraamidou
Bilevel optimization is a mathematical modeling formulation for hierarchical systems and two-player interactions, with wide-ranging applications in environmental, energy, and contr…
Benders Decomposition using Graph Modeling and Multi-Parametric Programming
Parth Brahmbhatt, David L. Cole, Victor M. Zavala +1
Benders decomposition is a widely used method for solving large optimization problems, but its performance is often hindered by the repeated solution of subproblems. We propose a f…
Iteration-Free Cooperative Distributed MPC through Multiparametric Programming
Radhe S. T. Saini, Parth R. Brahmbhatt, Styliani Avraamidou +1
Cooperative Distributed Model Predictive Control (DiMPC) architecture employs local MPC controllers to control different subsystems, exchanging information with each other through…