activity
20192022
most citedTowards Practical Physics-Informed ML Design and Evaluation for Power Grid

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG20222 cited

Towards Practical Physics-Informed ML Design and Evaluation for Power Grid

Shimiao Li, Amritanshu Pandey, Larry Pileggi

When applied to a real-world safety critical system like the power grid, general machine learning methods suffer from expensive training, non-physical solutions, and limited interp…

eess.SY2022

Circuit-theoretic Line Outage Distribution Factor

Shimiao Li, Amritanshu Pandey, Larry Pileggi

This work presents the design of AC line outage distribution factor created from the circuit-theoretic power flow models. Experiment results are shown to demonstrate its efficacy i…

eess.SP2021

Combined Transmission and Distribution State-Estimation for Future Electric Grids

Amritanshu Pandey, Shimiao Li, Larry Pileggi

Proliferation of grid resources on the distribution network along with the inability to forecast them accurately will render the existing methodology of grid operation and control…

eess.SY2020

A WLAV-based Robust Hybrid State Estimation using Circuit-theoretic Approach

Shimiao Li, Amritanshu Pandey, Larry Pileggi

For reliable and secure power grid operation, AC state-estimation (ACSE) must provide certain guarantees of convergence while being resilient against bad-data. This paper develops…

eess.SP2019

A LASSO-Inspired Approach for Localizing Power System Infeasibility

Shimiao Li, Amritanshu Pandey, Aayushya Agarwal +2

A method is proposed to identify and localize the cause of network collapse with augmented power flow analysis for a grid model with insufficient resources. Owing to heavy network…

eess.SY2019

A Circuit-Theoretic Approach to State Estimation

Shimiao Li, Amritanshu Pandey, Soummya Kar +1

Traditional state estimation (SE) methods that are based on nonlinear minimization of the sum of localized measurement error functionals are known to suffer from non-convergence an…