activity
20202022
most citedA robust extended Kalman filter for power system dynamic state estimation using PMU measurements

44 citations · 46 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SY20222 cited

A mode-in-state contribution factor based on Koopman operator and its application to power system analysis

Kenji Takamichi, Yoshihiko Susuki, Marcos Netto +1

This paper proposes a mode-in-state contribution factor for a class of nonlinear dynamical systems by utilizing spectral properties of the Koopman operator and sensitivity analysis…

eess.SY2021

Measurement placement in electric power transmission and distribution grids: Review of concepts, methods, and research needs

Marcos Netto, Venkat Krishnan, Yingchen Zhang +1

Sensing and measurement systems are quintessential to the safe and reliable operation of electric power grids. Their strategic placement is of ultimate importance because it is not…

eess.SY202144 cited

A robust extended Kalman filter for power system dynamic state estimation using PMU measurements

Marcos Netto, Junbo Zhao, Lamine Mili

This paper develops a robust extended Kalman filter to estimate the rotor angles and the rotor speeds of synchronous generators of a multimachine power system. Using a batch-mode r…

eess.SY2020

On analytical construction of observable functions in extended dynamic mode decomposition for nonlinear estimation and prediction

Marcos Netto, Yoshihiko Susuki, Venkat Krishnan +1

We propose an analytical construction of observable functions in the extended dynamic mode decomposition (EDMD) algorithm. EDMD is a numerical method for approximating the spectral…

eess.SP2020

Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

Junbo Zhao, Marcos Netto, Zhenyu Huang +13

Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-syn…