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20192026
most citedA Graph Theoretic Approach to Power System Vulnerability Identification

86 citations · 104 across the 15 of their papers we have counts for

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12 papers · 1 filter

eess.SY2026

Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4

The proliferation of distributed energy resources (DERs) in distribution grids enables the active coordination of these assets to reduce costs and enable cleaner operations. Realiz…

eess.SY2025

Frequency-Aware Sparse Optimization for Diagnosing Grid Instabilities and Collapses

Swadesh Vhakta, Denis Osipov, Reetam Sen Biswas +3

This paper aims to proactively diagnose and manage frequency instability risks from a steady-state perspective, without the need for derivative-dependent transient modeling. Specif…

eess.SY2025

Multi-Period Sparse Optimization for Proactive Grid Blackout Diagnosis

Qinghua Ma, Reetam Sen Biswas, Denis Osipov +3

Existing or planned power grids need to evaluate survivability under extreme events, like a number of peak load overloading conditions, which could possibly cause system collapses…

eess.SY2021

Mitigation of Saturated Cut-sets During Multiple Outages to Enhance Power System Security

Reetam Sen Biswas, Anamitra Pal, Trevor Werho +1

Ensuring reliable operation of large power systems subjected to multiple outages is a challenging task because of the combinatorial nature of the problem. Traditional approaches fo…

eess.SY2020

Identification of Utility-Scale Renewable Energy Penetration Threshold in a Dynamic Setting

Hashem Albhrani, Reetam Sen Biswas, Anamitra Pal

Integration of renewable energy resources with the electric grid is necessary for a sustainable energy future. However, increased penetration of inverter based resources (IBRs) red…

eess.SY2020

Fast Identification of Saturated Cut-sets using Graph Search Techniques

Reetam Sen Biswas, Anamitra Pal, Trevor Werho +1

When multiple outages occur in rapid succession, it is important to know quickly if the power transfer capability of different interconnections (or cut-sets) of the power network a…

eess.SY2020

A Micro-PMU Placement Scheme for Distribution Systems Considering Practical Constraints

Reetam Sen Biswas, Behrouz Azimian, Anamitra Pal

This paper presents an innovative approach to micro-phasor measurement unit (micro-PMU) placement in unbalanced distribution networks. The methodology accounts for the presence of…

eess.SY2020★ 86 cited

A Graph Theoretic Approach to Power System Vulnerability Identification

Reetam Sen Biswas, Anamitra Pal, Trevor Werho +1

During major power system disturbances, when multiple component outages occur in rapid succession, it becomes crucial to quickly identify the transmission interconnections that hav…

eess.SY2020

Adaptive LVRT Settings Adjustment for Enhancing Voltage Security of Renewable-Rich Electric Grids

Chen Wang, Chetan Mishra, Reetam Sen Biswas +2

Inverter based renewable generation (RG), especially at the distribution level, is supposed to trip offline during an islanding situation. However, islanding detection is done by c…

eess.SY2019

Application of Machine Learning for Online Dynamic Security Assessment in Presence of System Variability and Additive Instrumentation Errors

Anubhav Nath, Reetam Sen Biswas, Anamitra Pal

Large-scale blackouts that have occurred in the past few decades have necessitated the need to do extensive research in the field of grid security assessment. With the aid of synch…

eess.SY2019

A PMU Based Islanding Detection Scheme Immune to Additive Instrumentation Channel Errors

Meghna Barkakati, Reetam Sen Biswas, Anamitra Pal

Traditional synchrophasor measurement-based islanding detection techniques have primarily relied on voltage angle measurements and/or their derivatives for successfully detecting i…

eess.SY2019★ 2 cited

Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs?

Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas +3

Intelligently designed false data injection (FDI) attacks have been shown to be able to bypass the -test based bad data detector (BDD), resulting in physical consequences (suc…