Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm

This paper presents a robust model predictive control (RMPC) method with a new mixed H2/H∞ linear time-varying state feedback design. In addition, we propose a linear parameter-varying model for inverters in a microgrid (MG), in which disturbances and uncertainty are considered, where the inverters...

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Autores: Dehghani, Moslem, Ghiasi, Mohammad, Niknam, Taher, Rouzbehi, Kumars, Wang, Zhanle, Siano, Pierluigi, Haes Alhelou, Hassan
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/133623
Acceso en línea:https://hdl.handle.net/11441/133623
https://doi.org/10.1109/ACCESS.2021.3139341
Access Level:acceso abierto
Palabra clave:Microgrid
Linear parameter varying system
Distributed generation unit
H2/H∞ control
Robust model predictive control
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spelling Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive AlgorithmDehghani, MoslemGhiasi, MohammadNiknam, TaherRouzbehi, KumarsWang, ZhanleSiano, PierluigiHaes Alhelou, HassanMicrogridLinear parameter varying systemDistributed generation unitH2/H∞ controlRobust model predictive controlThis paper presents a robust model predictive control (RMPC) method with a new mixed H2/H∞ linear time-varying state feedback design. In addition, we propose a linear parameter-varying model for inverters in a microgrid (MG), in which disturbances and uncertainty are considered, where the inverters connect in parallel to renewable energy sources (RES). The proposed RMPC can use the gain-scheduled control law and satisfy both the H2 and H∞ proficiency requirements under various conditions, such as disturbance and load variation. A multistep control method is proposed to reduce the conservativeness caused by the unique feedback control law, enhance the control proficiency, and strengthen the RMPC feasible area. Furthermore, a practical and efficient RMPC is designed to reduce the online computational burden. The presented controller can implement load sharing among distributed generators (DGs) to stabilize the frequency and voltage of an entire smart island. The proposed strategy is implemented and studied in a MG with two DG types and various load types. Specifically, through converters, one type of DGs is used to control frequency and voltage, and the other type is used to control current. These two types of DGs operate in a parallel mode. Simulation results show that the proposed RMPCs are input-to-state practically stable (ISpS). Compared with other controllers in the literature, the proposed strategy can lead to minor total harmonic distortion (THD), lower steady-state error, and faster response to system disturbance and load variation.IEEEIngeniería de Sistemas y Automática2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/133623https://doi.org/10.1109/ACCESS.2021.3139341reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésIEEE Access, 10, 3738-3755.https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9665716info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1336232026-06-17T12:51:07Z
dc.title.none.fl_str_mv Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
title Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
spellingShingle Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
Dehghani, Moslem
Microgrid
Linear parameter varying system
Distributed generation unit
H2/H∞ control
Robust model predictive control
title_short Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
title_full Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
title_fullStr Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
title_full_unstemmed Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
title_sort Control of LPV Modeled AC-Microgrid Based on Mixed H2/H∞ Time-Varying Linear State Feedback and Robust Predictive Algorithm
dc.creator.none.fl_str_mv Dehghani, Moslem
Ghiasi, Mohammad
Niknam, Taher
Rouzbehi, Kumars
Wang, Zhanle
Siano, Pierluigi
Haes Alhelou, Hassan
author Dehghani, Moslem
author_facet Dehghani, Moslem
Ghiasi, Mohammad
Niknam, Taher
Rouzbehi, Kumars
Wang, Zhanle
Siano, Pierluigi
Haes Alhelou, Hassan
author_role author
author2 Ghiasi, Mohammad
Niknam, Taher
Rouzbehi, Kumars
Wang, Zhanle
Siano, Pierluigi
Haes Alhelou, Hassan
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
dc.subject.none.fl_str_mv Microgrid
Linear parameter varying system
Distributed generation unit
H2/H∞ control
Robust model predictive control
topic Microgrid
Linear parameter varying system
Distributed generation unit
H2/H∞ control
Robust model predictive control
description This paper presents a robust model predictive control (RMPC) method with a new mixed H2/H∞ linear time-varying state feedback design. In addition, we propose a linear parameter-varying model for inverters in a microgrid (MG), in which disturbances and uncertainty are considered, where the inverters connect in parallel to renewable energy sources (RES). The proposed RMPC can use the gain-scheduled control law and satisfy both the H2 and H∞ proficiency requirements under various conditions, such as disturbance and load variation. A multistep control method is proposed to reduce the conservativeness caused by the unique feedback control law, enhance the control proficiency, and strengthen the RMPC feasible area. Furthermore, a practical and efficient RMPC is designed to reduce the online computational burden. The presented controller can implement load sharing among distributed generators (DGs) to stabilize the frequency and voltage of an entire smart island. The proposed strategy is implemented and studied in a MG with two DG types and various load types. Specifically, through converters, one type of DGs is used to control frequency and voltage, and the other type is used to control current. These two types of DGs operate in a parallel mode. Simulation results show that the proposed RMPCs are input-to-state practically stable (ISpS). Compared with other controllers in the literature, the proposed strategy can lead to minor total harmonic distortion (THD), lower steady-state error, and faster response to system disturbance and load variation.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/133623
https://doi.org/10.1109/ACCESS.2021.3139341
url https://hdl.handle.net/11441/133623
https://doi.org/10.1109/ACCESS.2021.3139341
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv IEEE Access, 10, 3738-3755.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9665716
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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