233 citations · 428 across the 11 of their papers we have counts for
11 papers
Stiffness-Aware Decentralized Dynamic State Estimation for Inverter-Dominated Power Systems
Xingyu Zhao, Marcos Netto, Junbo Zhao
Dynamic state estimation (DSE) is becoming increasingly important for monitoring inverter-dominated power systems. Due to their cascading control structures, inverter-based resourc…
Measurement Uncertainty Impact on Koopman Operator Estimation of Power System Dynamics
P. Algikar, P. Sharma, M. Netto +1
Sensor measurements are mission-critical for monitoring and controlling power systems because they provide real-time insight into the grid operating condition; however, confidence…
Statistical analysis and method to quantify the impact of measurement uncertainty on dynamic mode decomposition
P. Algikar, P. Sharma, M. Netto +1
We apply random matrix theory to study the impact of measurement uncertainty on dynamic mode decomposition. Specifically, when the measurements follow a normal probability density…
Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model
Yijun Xu, Marcos Netto, Lamine Mili
We propose a Koopman operator-based surrogate model for propagating parameter uncertainties in power system nonlinear dynamic simulations. First, we augment the a priori known stat…
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…
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…
Robust Dynamic Mode Decomposition
Amir Hossein Abolmasoumi, Marcos Netto, Lamine Mili
This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the…
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…
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…
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…
Data-Driven Participation Factors for Nonlinear Systems Based on Koopman Mode Decomposition
Marcos Netto, Yoshihiko Susuki, Lamine Mili
This paper develops a novel data-driven technique to compute the participation factors for nonlinear systems based on the Koopman mode decomposition. Provided that certain conditio…