activity
20192026
collaborators

8 papers

eess.SY2026

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…

eess.SP2021

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…

eess.SY2021

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…

eess.SY2020

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…

eess.SP2020

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…

eess.SY2019

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…