activity
20182022
most citedA Graph Theoretic Approach to Power System Vulnerability Identification

86 citations · 88 across the 9 of their papers we have counts for

collaborators

16 papers

eess.SY20222 cited

Cascading Failures in Power Grids

Rounak Meyur

This paper studies the consequences of a human-initiated targeted attack on the national electric power system. We consider two kinds of attacks: () an attack by an adversary th…

eess.SY2022

Representative Scenarios to Capture Renewable Generation Stochasticity and Cross-Correlations

Dhaval Dalal, Anamitra Pal, Philip Augustin

Generating representative scenarios for power system planning in which the stochasticity of renewable generation and cross-correlations between renewables and load are fully captur…

cs.CR2021

GPS Spoofing Attacks on Phasor Measurement Units: Practical Feasibility and Countermeasures

Fakhri Saadedeen, Anamitra Pal

Prior research has demonstrated that global positioning system (GPS) spoofing attacks on phasor measurement units (PMUs) can cripple power system operation. This paper provides an…

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.SY2021

Statistical Characterization of Random Errors Present in Synchrophasor Measurements

Demetra Salls, Jairo Ramírez Torres, Antos Cheeramban Varghese +2

The statistical characterization of the measurement errors of a phasor measurement unit (PMU) is currently receiving considerable interest in the power systems community. This pape…

cs.LG2020

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…