1 citations · 1 across the 10 of their papers we have counts for
12 papers
Nuclear fusion for AI: A pathway to power data centers sustainably
Layla Araiinejad, Vineet Jagadeesan Nair
This perspective examines whether nuclear fusion can provide a scalable, low-carbon power source for rapidly growing AI-driven data center demand. As large language models, cloud c…
Understanding the role and value of battery storage in renewables-rich distribution grids under uncertainty and different market paradigms
Peer Valentin Brigger, Vineet Jagadeesan Nair, Anuradha Annaswamy
Economy-wide electrification is driving steep load growth, while renewables and batteries are increasing pressure at the distribution grid edge often requiring costly upgrades. Loc…
Multiobjective optimization-based design and dispatch of islanded, hybrid microgrids for remote, off-grid communities in sub-Saharan Africa
Vineet Jagadeesan Nair
Reliable, affordable electricity remains inaccessible to over 600 million people in sub-Saharan Africa (SSA), where islanded hybrid microgrids combining renewable generation, batte…
Dynamic resource coordination can increase grid hosting capacity to support more renewables, storage, and electrified load growth
Vineet Jagadeesan Nair, Morteza Vahid-Ghavidel, Anuradha M. Annaswamy
We show that dynamic coordination of distributed energy resources (DERs) can increase the capacity of low- and medium-voltage grids, improve reliability and power quality, and redu…
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid
Vineet Jagadeesan Nair, Lucas Pereira
This proposal aims to develop more accurate federated learning (FL) methods with faster convergence properties and lower communication requirements, specifically for forecasting di…
Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics
Vineet Jagadeesan Nair
We develop improved physics-informed neural networks (PINNs) for high-order and high-dimensional power system models described by nonlinear ordinary differential equations. We prop…
Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
Lucas Pereira, Vineet Jagadeesan Nair, Bruno Dias +2
We propose a comprehensive approach to increase the reliability and resilience of future power grids rich in distributed energy resources. Our distributed scheme combines federated…
Resilience of the Electric Grid through Trustable IoT-Coordinated Assets (Extended version)
Vineet J. Nair, Venkatesh Venkataramanan, Priyank Srivastava +10
The electricity grid has evolved from a physical system to a cyber-physical system with digital devices that perform measurement, control, communication, computation, and actuation…
A game-theoretic, market-based approach to extract flexibility from distributed energy resources
Vineet Jagadeesan Nair, Anuradha Annaswamy
We propose a market designed using game theory to optimally utilize the flexibility of distributed energy resources (DERs) like solar, batteries, electric vehicles, and flexible lo…
Enhancing power grid resilience to cyber-physical attacks using distributed retail electricity markets
Vineet Jagadeesan Nair, Priyank Srivastava, Anuradha Annaswamy
We propose using a hierarchical retail market structure to alert and dispatch resources to mitigate cyber-physical attacks on a distribution grid. We simulate attacks where a numbe…
Optimal transmission switching and grid reconfiguration for transmission systems via convex relaxations
Vineet Jagadeesan Nair
In this paper, we formulate optimization problems to perform optimal transmission switching (OTS) in order to operate power transmission grids most efficiently. In any given electr…
A Hierarchical Local Electricity Market for a DER-rich Grid Edge
Vineet Jagadeesan Nair, Venkatesh Venkataramanan, Rabab Haider +1
With increasing penetration of DERs in the distribution system, it is critical to design market structures that enable smooth integration of DERs. A hierarchical local electricity…