A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theory
Abstract In the three‐phase grid‐connected current‐source inverters (CSIs), the resonance result from the AC‐side CL filter and the quality of the grid‐current waveform under the unbalanced and harmonic grid voltage conditions are two issues deserving attention. To solve the two problems, a continuo...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-12-01
|
Series: | IET Power Electronics |
Subjects: | |
Online Access: | https://doi.org/10.1049/pel2.12590 |
_version_ | 1797403395216113664 |
---|---|
author | Yiwen Geng Tengfa Zhou Fucheng Cao Yue Xin Huibin Wang |
author_facet | Yiwen Geng Tengfa Zhou Fucheng Cao Yue Xin Huibin Wang |
author_sort | Yiwen Geng |
collection | DOAJ |
description | Abstract In the three‐phase grid‐connected current‐source inverters (CSIs), the resonance result from the AC‐side CL filter and the quality of the grid‐current waveform under the unbalanced and harmonic grid voltage conditions are two issues deserving attention. To solve the two problems, a continuous control set‐model predictive control (CCS‐MPC) method based on the optimization theory is proposed in the two‐phase synchronous coordinate frame in this paper. The constructed cost function takes grid‐connected current and output current of the inverter as control target, and obtains its optimal solution under the least‐squares method, where the optimal inverter‐side current reference is composed of inductor‐current proportional feedback, capacitor‐voltage proportional feedback, and inverter‐side current steady‐state value feedforward. The proposed method can easily realize the normal operation of three‐phase grid‐connected CSIs because the method can be determined by only one parameter under the unbalanced and distorted grids. Furthermore, in the proposed method, the proportional feedback of capacitor voltage can effectively suppress the CL filter resonance. Finally, simulation and experimental results verify the effectiveness of the proposed control strategy. |
first_indexed | 2024-03-09T02:38:52Z |
format | Article |
id | doaj.art-e3000d0e42054b28a2f9431960265960 |
institution | Directory Open Access Journal |
issn | 1755-4535 1755-4543 |
language | English |
last_indexed | 2024-03-09T02:38:52Z |
publishDate | 2023-12-01 |
publisher | Wiley |
record_format | Article |
series | IET Power Electronics |
spelling | doaj.art-e3000d0e42054b28a2f94319602659602023-12-06T07:52:59ZengWileyIET Power Electronics1755-45351755-45432023-12-0116162650266510.1049/pel2.12590A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theoryYiwen Geng0Tengfa Zhou1Fucheng Cao2Yue Xin3Huibin Wang4China University of Mining and Technology Xuzhou ChinaChina University of Mining and Technology Xuzhou ChinaChina University of Mining and Technology Xuzhou ChinaChina University of Mining and Technology Xuzhou ChinaChina University of Mining and Technology Xuzhou ChinaAbstract In the three‐phase grid‐connected current‐source inverters (CSIs), the resonance result from the AC‐side CL filter and the quality of the grid‐current waveform under the unbalanced and harmonic grid voltage conditions are two issues deserving attention. To solve the two problems, a continuous control set‐model predictive control (CCS‐MPC) method based on the optimization theory is proposed in the two‐phase synchronous coordinate frame in this paper. The constructed cost function takes grid‐connected current and output current of the inverter as control target, and obtains its optimal solution under the least‐squares method, where the optimal inverter‐side current reference is composed of inductor‐current proportional feedback, capacitor‐voltage proportional feedback, and inverter‐side current steady‐state value feedforward. The proposed method can easily realize the normal operation of three‐phase grid‐connected CSIs because the method can be determined by only one parameter under the unbalanced and distorted grids. Furthermore, in the proposed method, the proportional feedback of capacitor voltage can effectively suppress the CL filter resonance. Finally, simulation and experimental results verify the effectiveness of the proposed control strategy.https://doi.org/10.1049/pel2.12590closed‐loop systemsDC–AC power convertorsoptimal controlpower gridspredictive controlcurrent‐source inverters (CSIs) |
spellingShingle | Yiwen Geng Tengfa Zhou Fucheng Cao Yue Xin Huibin Wang A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theory IET Power Electronics closed‐loop systems DC–AC power convertors optimal control power grids predictive control current‐source inverters (CSIs) |
title | A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theory |
title_full | A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theory |
title_fullStr | A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theory |
title_full_unstemmed | A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theory |
title_short | A model predictive control of three‐phase grid‐connected current‐source inverter based on optimization theory |
title_sort | model predictive control of three phase grid connected current source inverter based on optimization theory |
topic | closed‐loop systems DC–AC power convertors optimal control power grids predictive control current‐source inverters (CSIs) |
url | https://doi.org/10.1049/pel2.12590 |
work_keys_str_mv | AT yiwengeng amodelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT tengfazhou amodelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT fuchengcao amodelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT yuexin amodelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT huibinwang amodelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT yiwengeng modelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT tengfazhou modelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT fuchengcao modelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT yuexin modelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory AT huibinwang modelpredictivecontrolofthreephasegridconnectedcurrentsourceinverterbasedonoptimizationtheory |