9 papers
Skill-Based AI Agents for Power-System Studies
Pavel Etingov, Shuchismita Biswas
This paper describes a skill-based agentic framework for power-system studies using Model Context Protocol (MCP)-connected engineering tools. A custom MCP server was developed to e…
Assessing Risks of Hydro-Generator Shaft Fatigue from Data Center Load Oscillations
Kaustav Chatterjee, Meghana Ramesh, Shuchismita Biswas +4
Large AI data center loads can introduce persistent sub-synchronous active-power oscillations that may impact nearby generators by exciting torsional modes and increasing shaft str…
A Model-Agnostic Method for PMU Data Recovery Using Optimal Singular Value Thresholding
Shuchismita Biswas, Virgilio A. Centeno
This paper presents a fast model-agnostic method for recovering noisy Phasor Measurement Unit (PMU) datastreams with missing entries. The measurements are first transformed into a…
Model Validation Study for Central American Regional Electrical Interconnected System
Xiaoyuan Fan, Marcelo A. Elizondo, Pavel V. Etingov +7
The Central American Regional Interconnected Power System (SER) connects six countries: Guatemala, El Salvador, Honduras, Nicaragua, Costa Rica, and Panama, it is operated by the r…
Chance-Constrained Optimal Distribution Network Partitioning to Enhance Grid Resilience
Shuchismita Biswas, Manish K. Singh, Virgilio Centeno
This paper formulates a chance-constrained optimal distribution network partitioning (ODNP) problem addressing uncertainties in load and renewable energy generation; and presents a…
Deep Neural Network based Wide-Area Event Classification in Power Systems
Iman Niazazari, Amir Ghasemkhani, Yunchuan Liu +4
This paper presents a wide-area event classification in transmission power grids. The deep neural network (DNN) based classifier is developed based on the availability of data from…
Proactive Islanding of the Power Grid to Mitigate High-Impact Low-Frequency Events
Shuchismita Biswas, Emanuel Bernabeu, David Picarelli
This paper proposes a methodology for enhancing power systems resiliency by proactively splitting an interconnected grid into small self-sustaining islands in preparation for extre…
A Routing and Link Scheduling Strategy for Smart Grid NAN Communications
Shuchismita Biswas, Virgilio Centeno
As large scale deployment of smart devices in the power grid continues, research efforts need to increasingly focus on efficient communication of generated information. This paper…
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems
Shuchismita Biswas, Rounak Meyur, Virgilio Centeno
Frequently recurring transient faults in a transmission network may be indicative of impending permanent failures. Hence, determining their location is a critical task. This paper…