A comprehensive review of power system stabilizers

A Nocoń, S Paszek - Energies, 2023 - mdpi.com
This paper presents a current literature review (from the years 2017–2022) on issues related
to the application of power system stabilizers (PSSs) for damping electromechanical swings …

Optimal tuning of power system stabilizers for a multi-machine power systems using hybrid gorilla troops and gradient-based optimizers

MA El-Dabah, MH Hassan, S Kamel, MA Abido… - IEEE …, 2023 - ieeexplore.ieee.org
This work discusses the production of a novel hybrid algorithm by combining the gorilla
troops optimizer (GTO) with the gradient-based optimizers (GBO) approach. The novel …

Overlapping internal boundary control of lane-free automated vehicle traffic

M Malekzadeh, VK Yanumula, I Papamichail… - Control Engineering …, 2023 - Elsevier
Lane-free vehicle driving has been recently proposed for connected automated vehicles on
highways or arterials. Lane-free traffic implies that incremental changes of the road width …

Decentralized robust preview control for uncertain continuous-time interconnected systems

H Xie, F Liao, F Ye, M Sun - Journal of Vibration and Control, 2023 - journals.sagepub.com
This paper investigates the problem of robust preview tracking control for uncertain
continuous-time interconnected systems. We adopt the technology of decentralized control …

Damping of Low‐Frequency Oscillations in a Power System, Based on Multiple‐Model Optimal Control Strategy

E Pagard, S Shojaeian… - … Transactions on Electrical …, 2023 - Wiley Online Library
This paper proposes a new control strategy based on multimodel linear optimization control
(MMLOC) to damp power system low‐frequency oscillations (LFO) faster. The multimodel …

[HTML][HTML] Perspective Chapter: Model Predictive Control of Multi-Variable Non-Linear System Using Multi-Agent Q-Learning

SH Kim, KR Song - Model Predictive Control-Theory and …, 2023 - intechopen.com
Abstract Model predictive control (MPC) is generally implemented with the feedback
controller to calculate the control sequence by solving an open-loop optimization problem in …

[PDF][PDF] Data-Driven Koopman Methods for Identification and Control of Distributed Energy Resources

A Mohammed - 2023 - corpus.ulaval.ca
Large scale integration of dispersed generation units has made the power system more
difficult to observe, identify and control. This dissertation provides a novel data-driven …

[引用][C] Data-driven Koopman methods for identification and control of distributed energy resources

A Husham - 2023