Model predictive control of microgrids–An overview

J Hu, Y Shan, JM Guerrero, A Ioinovici… - … and Sustainable Energy …, 2021 - Elsevier
The development of microgrids is an advantageous option for integrating rapidly growing
renewable energies. However, the stochastic nature of renewable energies and variable …

Model predictive control of power electronic systems: Methods, results, and challenges

P Karamanakos, E Liegmann, T Geyer… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …

Latest advances of model predictive control in electrical drives—Part I: Basic concepts and advanced strategies

J Rodriguez, C Garcia, A Mora… - … on Power Electronics, 2021 - ieeexplore.ieee.org
The application of model predictive control in electrical drives has been studied extensively
in the past decade. This article presents what the authors consider the most relevant …

Guidelines for the design of finite control set model predictive controllers

P Karamanakos, T Geyer - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
Direct model predictive control (MPC) with reference tracking, also referred to as finite
control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the …

Model predictive control for power converters and drives: Advances and trends

S Vazquez, J Rodriguez, M Rivera… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Model predictive control (MPC) is a very attractive solution for controlling power electronic
converters. The aim of this paper is to present and discuss the latest developments in MPC …

Evolution of topologies, modeling, control schemes, and applications of modular multilevel converters

A Dekka, B Wu, RL Fuentes, M Perez… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Modular multilevel converter (MMC) is one of the most promising topologies for medium to
high-voltage high-power applications. The main features of MMC are modularity, voltage …

A robust deadbeat predictive controller with delay compensation based on composite sliding-mode observer for PMSMs

X Sun, J Cao, G Lei, Y Guo, J Zhu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article proposes an improved deadbeat predictive controller for permanent-magnet
synchronous motor drive systems. It can eliminate the influence of the parameter mismatch …

High-power wind energy conversion systems: State-of-the-art and emerging technologies

V Yaramasu, B Wu, PC Sen, S Kouro… - Proceedings of the …, 2015 - ieeexplore.ieee.org
This paper presents a comprehensive study on the state-of-the-art and emerging wind
energy technologies from the electrical engineering perspective. In an attempt to decrease …

Finite-control-set model predictive control of permanent magnet synchronous motor drive systems—An overview

T Li, X Sun, G Lei, Y Guo, Z Yang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) have been widely employed in the
industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control …

Low-complexity multivector-based model predictive torque control for PMSM with voltage preselection

X Li, Z Xue, X Yan, L Zhang, W Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In the double-vector-based model predictive torque control (MPTC), two voltage vectors are
applied in one control period. Due to a large number of possible combinations among …