Advances and opportunities in the model predictive control of microgrids: Part I–primary layer
The smart-grid has requirements of flexible automation, efficiency, reliability, resiliency and
scalability. These are necessitated by the increasing penetration of power-electronics …
scalability. These are necessitated by the increasing penetration of power-electronics …
Model-free predictive control of grid-forming inverters with $ LCL $ filters
R Heydari, H Young… - … on Power Electronics, 2022 - ieeexplore.ieee.org
With the increasing penetration of distributed energy resources into islanded microgrids, a
grid-forming inverter (GFI) has become the key element interfacing renewable energy …
grid-forming inverter (GFI) has become the key element interfacing renewable energy …
Model-free neural network-based predictive control for robust operation of power converters
An accurate definition of a system model significantly affects the performance of model-
based control strategies, for example, model predictive control (MPC). In this paper, a model …
based control strategies, for example, model predictive control (MPC). In this paper, a model …
Predictive direct power control with phase‐locked loop technique of three‐level neutral point clamped inverter based shunt active power filter for power quality …
N Debdouche, H Benbouhenni, B Deffaf… - … Journal of Circuit …, 2024 - Wiley Online Library
In this study, an improved anti‐windup proportional‐integral predictive direct power control
strategy with a phase‐locked loop (PLL) is proposed and applied to a three‐level shunt …
strategy with a phase‐locked loop (PLL) is proposed and applied to a three‐level shunt …
Current ripple minimisation in deadbeat parameter-free predictive control of synchronous motor drives
This paper proposes a motor parameter-free predictive current control of synchronous motor
drives. In the context of motor parameter-free controls, the distinctive feature proposed in this …
drives. In the context of motor parameter-free controls, the distinctive feature proposed in this …
Adaptive cost function FCSMPC for 6-phase IMs
In this paper, an adaptive cost function FCSMPC is derived from newly obtained results
concerning the distribution of figures of merits used for the assessment of stator current …
concerning the distribution of figures of merits used for the assessment of stator current …
Experimental validation of model-free predictive control based on the active vector execution time for grid-connected system
Abstract The application of Model-Free Predictive Control (MFPC) in power electronic
systems has garnered increasing attention. In this paper, MFPC control based on replacing …
systems has garnered increasing attention. In this paper, MFPC control based on replacing …
Online adaptive parameter estimation of a finite control set model predictive controlled hybrid active power filter
This paper presents a novel strategy for online parameter estimation in a hybrid active
power filter (HAPF). This HAPF makes use of existing capacitor banks which it combines …
power filter (HAPF). This HAPF makes use of existing capacitor banks which it combines …
Predictive Control of Multi-Phase Motor for Constant Torque Applications
Constant torque motors are needed for rotary screw compressors that are used for cooling
and other applications. In such systems, the torque demanded by the load is approximately …
and other applications. In such systems, the torque demanded by the load is approximately …
ENHANCED MODEL-FREE PREDICTIVE CONTROL FOR VOLTAGE SOURCE INVERTERS USING AN ADAPTIVE OBSERVER
In this paper, a free model predictive control based on the active vector execution time
(AVET-MFPC) using an adaptive observer is proposed for two-level voltage source inverters …
(AVET-MFPC) using an adaptive observer is proposed for two-level voltage source inverters …