86 citations · 104 across the 15 of their papers we have counts for
16 papers
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…
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…
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…
Transdimensional 2D Full-Waveform Inversion and Uncertainty Estimation
Reetam Biswas, Mrinal K. Sen
Full-Waveform Inversion (FWI) has now become a widely accepted tool to obtain high-resolution velocity models from seismic data. Typically, the velocity model in its discrete form…
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…
State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
Behrouz Azimian, Reetam Sen Biswas, Shiva Moshtagh +3
Time-synchronized state estimation for reconfigurable distribution networks is challenging because of limited real-time observability. This paper addresses this challenge by formul…
Time Synchronized State Estimation for Incompletely Observed Distribution Systems Using Deep Learning Considering Realistic Measurement Noise
Behrouz Azimian, Reetam Sen Biswas, Anamitra Pal +1
Time-synchronized state estimation is a challenge for distribution systems because of limited real-time observability. This paper addresses this challenge by formulating a deep lea…
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…
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…
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…
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…
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…
Critical Clearing Time Sensitivity for Inequality Constrained Systems
Chetan Mishra, Reetam Sen Biswas, Anamitra Pal +1
With the growth of renewable generation (RG) and the development of associated ride through curves serving as operating limits, during disturbances, on violation of these limits, t…
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…
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…
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…