Multilevel inverters using finite set- model predictive current control for renewable energy systems applications

Thesis submitted in fulfilment of the requirements for the degree Doctor of Technology: Electrical Engineering in the Faculty of Engineering at the Cape Peninsula University of Technology === This research focuses on the predictive current control of multilevel converters with the aim of providing a...

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Main Author: Almaktoof, Ali Mustafa Ali
Language:en
Published: Cape Peninsula University of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/20.500.11838/1202
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-cput-oai-localhost-20.500.11838-12022018-05-28T05:09:47Z Multilevel inverters using finite set- model predictive current control for renewable energy systems applications Almaktoof, Ali Mustafa Ali Multilevel converters Multilevel inverters Renewable energy systems Multilevel voltage source inverters Thesis submitted in fulfilment of the requirements for the degree Doctor of Technology: Electrical Engineering in the Faculty of Engineering at the Cape Peninsula University of Technology This research focuses on the predictive current control of multilevel converters with the aim of providing an optimized system for three-phase, multilevel inverters (MLIs) so that the load current and the voltage of the capacitors can be controlled. A model predictive current control algorithm is proposed, specifically directed at the utilisation of power obtained from renewable energy systems (RESs). The model was developed for three-phase, multilevel voltage source inverters (MLVSIs), three-phase, three-level diode-clamped converters (DCCs) and flying capacitor converters (FCCs). In this study the renewable energy systems model is used to investigate system performance when power is supplied to a resistiveinductive load (RL-load). The proposed control method was split into two different control algorithms. Firstly, a finite set-model predictive current control (FS-MPCC) method was developed to control the output current of three-phase, MLIs. This control method was selected to reduce the calculation effort for model predictive control (MPC) and to increase the possible prediction horizon. Secondly, to solve the flying capacitor voltage balance problem in an FCC, as well as to solve the DC-link capacitor voltage balance problem in a DCC, a hysteresis-voltage alancing algorithm based on predictive control, was designed—this algorithm was used to keep the flying capacitor voltages and DC-link capacitor voltages within their hysteresis bands. Finally, for some classes of power converters, a performance evaluation of the FS-MPCC method for three-phase, three-level MLIs was investigated in terms of power quality and dynamic response. The improvement was assessed in terms of total harmonic distortion (THD) of the output voltage for the RL-load. The modelling and co-simulation were carried out using MATLAB/Simulink with PSIM software. The co-simulation results indicated that the proposed control algorithms achieved both high performance and a high degree of robustness in RESs applications. 2015-09-03T10:52:04Z 2016-02-18T05:54:20Z 2015-09-03T10:52:04Z 2016-02-18T05:54:20Z 2015 Thesis http://hdl.handle.net/20.500.11838/1202 en http://creativecommons.org/licenses/by-nc-sa/3.0/za/ Cape Peninsula University of Technology
collection NDLTD
language en
sources NDLTD
topic Multilevel converters
Multilevel inverters
Renewable energy systems
Multilevel voltage source inverters
spellingShingle Multilevel converters
Multilevel inverters
Renewable energy systems
Multilevel voltage source inverters
Almaktoof, Ali Mustafa Ali
Multilevel inverters using finite set- model predictive current control for renewable energy systems applications
description Thesis submitted in fulfilment of the requirements for the degree Doctor of Technology: Electrical Engineering in the Faculty of Engineering at the Cape Peninsula University of Technology === This research focuses on the predictive current control of multilevel converters with the aim of providing an optimized system for three-phase, multilevel inverters (MLIs) so that the load current and the voltage of the capacitors can be controlled. A model predictive current control algorithm is proposed, specifically directed at the utilisation of power obtained from renewable energy systems (RESs). The model was developed for three-phase, multilevel voltage source inverters (MLVSIs), three-phase, three-level diode-clamped converters (DCCs) and flying capacitor converters (FCCs). In this study the renewable energy systems model is used to investigate system performance when power is supplied to a resistiveinductive load (RL-load). The proposed control method was split into two different control algorithms. Firstly, a finite set-model predictive current control (FS-MPCC) method was developed to control the output current of three-phase, MLIs. This control method was selected to reduce the calculation effort for model predictive control (MPC) and to increase the possible prediction horizon. Secondly, to solve the flying capacitor voltage balance problem in an FCC, as well as to solve the DC-link capacitor voltage balance problem in a DCC, a hysteresis-voltage alancing algorithm based on predictive control, was designed—this algorithm was used to keep the flying capacitor voltages and DC-link capacitor voltages within their hysteresis bands. Finally, for some classes of power converters, a performance evaluation of the FS-MPCC method for three-phase, three-level MLIs was investigated in terms of power quality and dynamic response. The improvement was assessed in terms of total harmonic distortion (THD) of the output voltage for the RL-load. The modelling and co-simulation were carried out using MATLAB/Simulink with PSIM software. The co-simulation results indicated that the proposed control algorithms achieved both high performance and a high degree of robustness in RESs applications.
author Almaktoof, Ali Mustafa Ali
author_facet Almaktoof, Ali Mustafa Ali
author_sort Almaktoof, Ali Mustafa Ali
title Multilevel inverters using finite set- model predictive current control for renewable energy systems applications
title_short Multilevel inverters using finite set- model predictive current control for renewable energy systems applications
title_full Multilevel inverters using finite set- model predictive current control for renewable energy systems applications
title_fullStr Multilevel inverters using finite set- model predictive current control for renewable energy systems applications
title_full_unstemmed Multilevel inverters using finite set- model predictive current control for renewable energy systems applications
title_sort multilevel inverters using finite set- model predictive current control for renewable energy systems applications
publisher Cape Peninsula University of Technology
publishDate 2015
url http://hdl.handle.net/20.500.11838/1202
work_keys_str_mv AT almaktoofalimustafaali multilevelinvertersusingfinitesetmodelpredictivecurrentcontrolforrenewableenergysystemsapplications
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