233 citations · 445 across the 27 of their papers we have counts for
27 papers
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…
Identification of Power System Oscillation Modes using Blind Source Separation based on Copula Statistic
Pooja Algikar, Lamine Mili, Mohsen Ben Hassine +3
The dynamics of a power system with large penetration of renewable energy resources are becoming more nonlinear due to the intermittence of these resources and the switching of the…
Robust Gaussian Process Regression with Huber Likelihood
Pooja Algikar, Lamine Mili
Gaussian process regression in its most simplified form assumes normal homoscedastic noise and utilizes analytically tractable mean and covariance functions of predictive posterior…
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…
Constant Curvature Curve Tube Codes for Low-Latency Analog Error Correction
Anders M. Buvarp, Robert M. Taylor, Kumar Vijay Mishra +2
Recent research in ultra-reliable and low latency communications (URLLC) for future wireless systems has spurred interest in short block-length codes. In this context, we analyze a…
A Measurement-Based Robust Non-Gaussian Process Emulator Applied to Data-Driven Stochastic Power Flow
Pooja Algikar, Yijun Xu, Lamine Mili
In this paper, we propose a robust non-Gaussian process emulator based on the Schweppe-type generalized maximum likelihood estimator, which is trained on metered time series of vol…
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…
New Highly Efficient High-Breakdown Estimator of Multivariate Scatter and Location for Elliptical Distributions
Justin A. Fishbone, Lamine Mili
High-breakdown-point estimators of multivariate location and shape matrices, such as the MM-estimator with smooth hard rejection and the Rocke S-estimator, are generally designed t…
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…
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…
Research Needed in Computational Social Science for Power System Reliability, Resilience, and Restoration
Jaber Valinejad, Lamine Mili, Natalie van der Wal
In the literature, smart grids are modeled as cyber-physical power systems without considering the computational social aspects. However, end-users are playing a key role in their…
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…
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…
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…
Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part 2: Simulation Results
Jaber Valinejad, Lamine Mili, Konstantinos Triantis +2
In this paper we investigate the resiliency planning of interdependent electric power systems and emergency services. We investigate the effect of the level of empathy, cooperation…
Community Resilience Optimization Subject to Power Flow Constraints in Cyber-Physical-Social Systems in Power Engineering
Jaber Valinejad, Lamine Mili
This paper develops a community resilience optimization method subject to power flow constraints in the Cyber-Physical-Social Systems in Power Engineering, which is solved using a…
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…
On the Effect of Suboptimal Estimation of Mutual Information in Feature Selection and Classification
Kiran Karra, Lamine Mili
This paper introduces a new property of estimators of the strength of statistical association, which helps characterize how well an estimator will perform in scenarios where depend…
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…
Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part I--Theory
Junbo Zhao, Lamine Mili
This paper develops the theoretical framework and the equations of a new robust Generalized Maximum-likelihood-type Unscented Kalman Filter (GM-UKF) that is able to suppress observ…