[HTML][HTML] Power system restoration with large renewable Penetration: State-of-the-Art and future trends

K Liang, H Wang, D Pozo, V Terzija - … Journal of Electrical Power & Energy …, 2024 - Elsevier
The catastrophic blackout events and ever-increasing penetration of renewable power
generation highlight an advanced restoration strategy to effectively and reliably employ …

A generalized computationally efficient copula-polynomial chaos framework for probabilistic power flow considering nonlinear correlations of PV injections

K Ye, J Zhao, Y Zhang, X Liu, H Zhang - International Journal of Electrical …, 2022 - Elsevier
This paper develops a general computationally efficient copula-polynomial chaos expansion
(copula-PCE) framework for power system probabilistic power flow that can handle both …

[图书][B] Eigenvalue Problems in Power Systems

F Milano, I Dassios, M Liu, G Tzounas - 2020 - taylorfrancis.com
The book provides a comprehensive taxonomy of non-symmetrical eigenvalues problems as
applied to power systems. The book bases all formulations on mathematical concept of …

Recent progress and future research direction of nonlinear dynamics and bifurcation analysis of grid-connected power converter circuits and systems

C Reza, DDC Lu - IEEE Journal of Emerging and Selected …, 2019 - ieeexplore.ieee.org
Since the discovery of nonlinear dynamics and chaotic behaviors of basic power converter
circuits, stability analysis has been extended to more complex converter structures …

Machine learning accelerated real-time model predictive control for power systems

RR Hossain, R Kumar - IEEE/CAA Journal of Automatica Sinica, 2023 - ieeexplore.ieee.org
This paper presents a machine-learning-based speed-up strategy for real-time
implementation of model-predictive-control (MPC) in emergency voltage stabilization of …

Propagating uncertainty in power system initial conditions using data-driven linear operators

ARR Matavalam, U Vaidya… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose a data-driven approach for uncertainty moment propagation
through the non-linear power system dynamics. The proposed approach relies on the linear …

Understanding and evaluating systemwide impacts of uncertain parameters in the dynamic load model on short-term voltage stability

JK Kim, B Lee, J Ma, G Verbič, S Nam… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper investigates systemwide short-term voltage stability concerns of power systems
due to the multiple parametric uncertainties in the dynamic load model. The impact of …

A Sensitivity Analysis Method for a Class of Cyber-Physical Systems and Its Application to Parameter Optimization

Y Kuroe, H Nakanishi, S Kanata - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sensitivity analysis is fundamental and essential in the analysis and design of any system.
Sensitivities are usually defined as derivatives of system variables or system performance …

Solving non-homogeneous linear ordinary differential equations using memristor-capacitor circuit

H Fu, Q Hong, C Wang, J Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Inhomogeneous linear ordinary differential equations (ODEs) and systems of ODEs can be
solved in a variety of ways. However, hardware circuits that can perform the efficient analog …

Dynamic equivalent method of PMSG‐based wind farm for power system stability analysis

T Wang, M Gao, D Mi, S Huang… - IET Generation …, 2020 - Wiley Online Library
This study presents a dynamic equivalent method of wind farms with permanent magnetic
synchronous generator (PMSG) wind turbines for power system stability analysis. First, a …