233 citations · 445 across the 27 of their papers we have counts for
13 papers · 1 filter
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 Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow
Pooja Algikar, Yijun Xu, Somayeh Yarahmadi +1
In this paper, we propose a robust data-driven process model whose hyperparameters are robustly estimated using the Schweppe-type generalized maximum likelihood estimator. The prop…
An Adaptive-Importance-Sampling-Enhanced Bayesian Approach for Topology Estimation in an Unbalanced Power Distribution System
Yijun Xu, Jaber Valinejad, Mert Korkali +4
The reliable operation of a power distribution system relies on a good prior knowledge of its topology and its system state. Although crucial, due to the lack of direct monitoring…
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…
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…
Dynamic State Estimation for Power System Control and Protection
Yu Liu, Abhinav Kumar Singh, Junbo Zhao +12
Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and p…
Real-time LCC-HVDC Maximum Emergency Power Capacity Estimation Based on Local PMU Measurements
Long Peng, Junbo Zhao, Yong Tang +3
The adjustable capacity of a line-commutated-converter High Voltage Direct Current (LCC-HVDC) connected to a power system, called the LCC-HVDC maximum emergency power capability or…
An Adaptive MMC Synchronous Stability Control Method Based on Local PMU measurements
Long Peng, Yong Tang, Lamine Mili +4
Reducing the current is a common method to ensure the synchronous stability of a modular multilevel converter (MMC) when there is a short-circuit fault at its AC side. However, the…
Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation
Yijun Xu, Kiran Karra, Lamine Mili +3
The increasing penetration of renewable energy along with the variations of the loads bring large uncertainties in the power system states that are threatening the security of powe…
Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation
Zhixiong Hu, Yijun Xu, Mert Korkali +3
The increasing penetration of renewable energy resources in power systems, represented as random processes, converts the traditional deterministic economic dispatch problem into a…
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…
Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part II--Implementation and Results
Junbo Zhao, Lamine Mili
This paper is the second of a two-part series that discusses the implementation issues and test results of a robust Unscented Kalman Filter (UKF) for power system dynamic state est…
On the Definition of Cyber-Physical Resilience in Power Systems
Reza Arghandeh, Alexandra von Meier, Laura Mehrmanesh +1
In recent years, advanced sensors, intelligent automation, communication networks, and information technologies have been integrated into the electric grid to enhance its performan…