collaborators

7 papers

eess.SP2019

A Probabilistic Approach to Power System State Estimation using a Linear Algorithm

Martin R. Wagner, Marko Jereminov, Amritanshu Pandey +1

An equivalent circuit formulation for power system analysis was demonstrated to improve robustness of Power Flow and enable more generalized modeling, including that for RTUs (Remo…

eess.SP2019

Robust and Efficient Power Flow Convergence with G-min Stepping Homotopy Method

Marko Jereminov, Athanasios Terzakis, Martin Wagner +2

Recent advances have shown that the circuit simulation algorithms that allow for solving highly nonlinear circuits of over one billion variables can be applicable to power system s…

eess.SP2019

Equivalent Circuit Programming for Estimating the State of a Power System

Marko Jereminov, Aleksandar Jovicic, Martin R. Wagner +2

An Equivalent Circuit Programming (ECP) approach that expresses the optimality conditions of an optimization problem in terms of an equivalent circuit model and uses circuit simula…

eess.SP2019

Robust Sequential Steady-State Analysis of Cascading Outages

Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov +3

Simulating potential cascading failures can be useful for avoiding or mitigating such events. Currently, existing steady-state analysis tools are ill-suited for simulating cascadin…

eess.SP2018

Linear Power Grid State Estimation with Modeling Uncertainties

Martin R. Wagner, Marko Jereminov, Larry Pileggi

Recent advances in power system State Estimation (SE) have included equivalent circuit models for representing measurement data that allows incorporation of both PMU and RTU measur…

eess.SP2018

Evaluating Feasibility within Power Flow

Marko Jereminov, David M. Bromberg, Amritanshu Pandey +2

Recent development of techniques that improve the convergence properties of power flow simulation have been demonstrated to facilitate scaling to large system sizes (80k+ buses). H…