Virtual voltage vector-based sequential model-free predictive control for multiparalleled NPC inverters

L Cheng, L Qiu, W Wu, X Liu, J Ma… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Parallel inverters are widely used in the microgrid systems to meet the demand for increased
power capacity and enhanced reliability. However, unbalanced connections between the …

Real-Time Implementation of a New Modified 3DSVPWM Control Method for Eliminating Zero-Sequence Circulating Current in Parallel Three-Phase Four-Leg Source …

AAM Al-Dwa, A Chebabhi, D Ziane, S Barkat… - IEEE …, 2024 - ieeexplore.ieee.org
Due to its good reliability, high modularity, zero-sequence current (ZSC) path, and lower size
and cost, the parallel four-leg source voltage inverter's topology is a perfect choice for many …

Model-free adaptive tensor product control for a class of nonlinear systems

D Zhao, S Gao, F Li, X Yan, SK Spurgeon - Control Engineering Practice, 2024 - Elsevier
This paper presents a new data driven control for a class of discrete-time multiple input and
multiple output nonlinear systems which uses the principles of model-free adaptive control …

Pseudo-Three-Layer Sequential Model-Free Predictive Control with Neural-Network Observer for Parallel TType Three-Level Converters

T Cao, YH Yu, J Zhang, J Rodriguez… - … on Power Electronics, 2024 - ieeexplore.ieee.org
Parallel T-type three-level converter (3LT 2 C) system has been widely concerned with its
high-quality output current and improved efficiency in low-voltage applications. However, for …

Data-Driven Predictive Control Strategy to Improve Robust Performance for Three-Level Inverters With Reduced Common Mode Voltage

Y Huang, T Liu, Q Ren, A Chen… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This article proposed a generalized extended state observer (GESO)-based data-driven
predictive control (DDPC) strategy with multi-vector for three-level inverters, which is …

[HTML][HTML] Stochastic dynamic power dispatch with high generalization and few-shot adaption via contextual meta graph reinforcement learning

Z Huang, T Yu, Z Pan, B Deng, X Zhang, Y Wu… - International Journal of …, 2024 - Elsevier
Reinforcement learning, as an efficient method for solving uncertainty decision making in
power systems, is widely used in multi-stage stochastic power dispatch and dynamic …

Current Tracking and Circulating Current Suppression Super-Twisting Sliding Mode Control for Parallel Operation of EAST Fast Control Power Supply

H Huang, Z Chen, H Wang - Fusion Science and Technology, 2024 - Taylor & Francis
To quickly output sufficient current for plasma excitation control, parallel operation of a
structure of multiple branches is adopted in the Experimental Advanced Superconducting …

Modified Carrier-Based SPWM Technique for Zero Sequence Circulating Current Elimination in Parallel Inverters

AAM Al-Dwa, C Ali, C Adel, B Said… - … in Electronic and …, 2022 - ieeexplore.ieee.org
For medium and high-power renewable energy applications, parallel four-leg inverters are
highly recommended to increase the power capability, power rating, and the efficiency of the …

An Enhanced Voltage Profile for Solar PV Following Converters in Microgrid Using Data-driven FCS-MPC

AS Omran, MS Hamad, M Abdelgeliel… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper proposes a data-driven finite control set model predictive control (FCS-MPC) to
enhance the performance of solar photovoltaic (PV) systems in low-voltage microgrids …

Predictive Control for a Single-Phase to Three-Phase Converter with Two-Parallel Single-Phase Rectifiers

R da Cruz Ferreira, SMA Dias, N Rocha… - Eletrônica de …, 2023 - journal.sobraep.org.br
This paper presents a parallel single-phase to three-phase drive system, using two single-
phase rectifiers. The rectifiers are not isolated from the grid by low-frequency transformers …