activity
20242026
collaborators

8 papers

eess.SY2026

Large-Signal Stability Analysis of Optimization-Based Secondary Control for Distributed Energy Resources

Vivek Khatana, Soham Chakraborty, Murti V. Salapaka

This article develops a large-signal stability analysis for a sampled-data optimization-based secondary controller for distributed energy resources (DERs) in power systems. The ind…

eess.SY2026

Analysis of a Distributed Optimization-Based Control Architecture for Inverter-Interfaced Virtual Power Plants

Vivek Khatana, Soham Chakraborty, Murti V. Salapaka

We develop a large-signal stability analysis for a sampled-data, optimization-based secondary controller for inverter-interfaced distributed energy resources in virtual power plant…

eess.SY2026

Storage and Transport Capacity Design for a Self-Reliable Two-Node Stochastic Resource System

Arnab Dey, Vivek Khatana, Ankur Mani +1

We study a two-node stochastic resource system operating over a finite horizon. Each node experiences uncertain supply and demand and is equipped with finite storage. The objective…

math.OC2025

Networked Control and Mean Field Problems Under Diagonal Dominance: Decentralized and Social Optimality

Vivek Khatana, Duo Wang, Petros Voulgaris +2

In this article, we employ an input-output approach to expand the study of cooperative multi-agent control and optimization problems characterized by mean-field interactions that a…

eess.SY2025

Wasserstein Distributionally Robust Adaptive Covariance Steering

Aditya Gahlawat, Vivek Khatana, Duo Wang +3

We present a methodology for predictable and safe covariance steering control of uncertain nonlinear stochastic processes. The systems under consideration are subject to general un…

eess.SY2024

Guaranteeing Service in Connected Microgrids: Storage Planning and Optimal Power Sharing Policy

Arnab Dey, Vivek Khatana, Ankur Mani +1

The integration of renewable energy sources (RES) into power distribution grids poses challenges to system reliability due to the inherent uncertainty in their power production. To…