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A survey on control of electric power distributed generation systems for microgrid applications
AM Bouzid, JM Guerrero, A Cheriti… - … and Sustainable Energy …, 2015 - Elsevier
The introduction of microgrids in distribution networks based on power electronics facilitates
the use of renewable energy resources, distributed generation (DG) and storage systems …
the use of renewable energy resources, distributed generation (DG) and storage systems …
Review and comparison of grid-tied inverter controllers in microgrids
Q Liu, T Caldognetto, S Buso - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
Grid-tied inverters are widely used for interfacing renewable energy sources or storage
devices to low-voltage electrical power distribution systems. Lately, a number of different …
devices to low-voltage electrical power distribution systems. Lately, a number of different …
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 …
control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the …
A robust deadbeat predictive controller with delay compensation based on composite sliding-mode observer for PMSMs
This article proposes an improved deadbeat predictive controller for permanent-magnet
synchronous motor drive systems. It can eliminate the influence of the parameter mismatch …
synchronous motor drive systems. It can eliminate the influence of the parameter mismatch …
Model predictive control—A simple and powerful method to control power converters
This paper presents a detailed description of finite control set model predictive control (FCS-
MPC) applied to power converters. Several key aspects related to this methodology are, in …
MPC) applied to power converters. Several key aspects related to this methodology are, in …
Predictive control in power electronics and drives
P Cortés, MP Kazmierkowski… - IEEE Transactions …, 2008 - ieeexplore.ieee.org
Predictive control is a very wide class of controllers that have found rather recent application
in the control of power converters. Research on this topic has been increased in the last …
in the control of power converters. Research on this topic has been increased in the last …
Model predictive direct speed control with finite control set of PMSM drive systems
M Preindl, S Bolognani - IEEE Transactions on Power …, 2012 - ieeexplore.ieee.org
Servo drives and drives for position control require a high dynamic on speed control. In this
paper, model predictive direct speed control (MP-DSC) is proposed, which overcomes …
paper, model predictive direct speed control (MP-DSC) is proposed, which overcomes …
Predictive current control of a voltage source inverter
J Rodriguez, J Pontt, CA Silva, P Correa… - IEEE transactions on …, 2007 - ieeexplore.ieee.org
This paper presents a predictive current control method and its application to a voltage
source inverter. The method uses a discrete-time model of the system to predict the future …
source inverter. The method uses a discrete-time model of the system to predict the future …
Evaluation of current controllers for distributed power generation systems
A Timbus, M Liserre, R Teodorescu… - … on power electronics, 2009 - ieeexplore.ieee.org
This paper discusses the evaluation of different current controllers employed for grid-
connected distributed power generation systems having variable input power, such as wind …
connected distributed power generation systems having variable input power, such as wind …
Model predictive direct torque control with finite control set for PMSM drive systems, Part 1: Maximum torque per ampere operation
M Preindl, S Bolognani - IEEE Transactions on Industrial …, 2013 - ieeexplore.ieee.org
A novel type of Model Predictive Direct Torque Control (MP-DTC) is proposed in this paper.
The future behavior of the plant is predicted using a discrete-time state-space model in the …
The future behavior of the plant is predicted using a discrete-time state-space model in the …