No Cover Image

Journal article 553 views 135 downloads

Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters

Mohammad-Sadegh Karbasforooshan Orcid Logo, Mohammad Monfared Orcid Logo

IEEE Transactions on Power Delivery, Pages: 1 - 9

Swansea University Author: Mohammad Monfared Orcid Logo

Check full text

DOI (Published version): 10.1109/tpwrd.2023.3262662

Abstract

This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids. The HAPF structure eliminates the resonance between the passive powe...

Full description

Published in: IEEE Transactions on Power Delivery
ISSN: 0885-8977 1937-4208
Published: Institute of Electrical and Electronics Engineers (IEEE) 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa63136
first_indexed 2023-04-13T08:06:58Z
last_indexed 2024-11-15T18:00:59Z
id cronfa63136
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2024-04-24T15:40:21.5712784</datestamp><bib-version>v2</bib-version><id>63136</id><entry>2023-04-13</entry><title>Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters</title><swanseaauthors><author><sid>adab4560ff08c8e5181ff3f12a4c36fb</sid><ORCID>0000-0002-8987-0883</ORCID><firstname>Mohammad</firstname><surname>Monfared</surname><name>Mohammad Monfared</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-04-13</date><deptcode>ACEM</deptcode><abstract>This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids. The HAPF structure eliminates the resonance between the passive power filter and the grid impedance. Furthermore, it can be integrated into passive filters to enhance their filtering performance. In this paper, a digital algorithm is proposed for managing the performance of each converter leg accurately. To do so, an exact model of the high-order system is developed, and the transfer function of the plant is calculated in continuous and discrete time domains. Then, a predictive deadbeat technique for HAPF current control is presented, which benefits from high accuracy, fast dynamics, and low sensitivity to system parameter mismatches. Extensive simulation and experimental tests are conducted and the results match well to confirm the success and appropriate performance of the overall system. Also, performance comparison with conventional solutions demonstrates the superiority of the suggested filtering technique.</abstract><type>Journal Article</type><journal>IEEE Transactions on Power Delivery</journal><volume/><journalNumber/><paginationStart>1</paginationStart><paginationEnd>9</paginationEnd><publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0885-8977</issnPrint><issnElectronic>1937-4208</issnElectronic><keywords/><publishedDay>24</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-01-24</publishedDate><doi>10.1109/tpwrd.2023.3262662</doi><url>http://dx.doi.org/10.1109/tpwrd.2023.3262662</url><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-04-24T15:40:21.5712784</lastEdited><Created>2023-04-13T09:00:54.1361054</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering</level></path><authors><author><firstname>Mohammad-Sadegh</firstname><surname>Karbasforooshan</surname><orcid>0000-0001-7039-3186</orcid><order>1</order></author><author><firstname>Mohammad</firstname><surname>Monfared</surname><orcid>0000-0002-8987-0883</orcid><order>2</order></author></authors><documents><document><filename>63136__27031__767e8485ca774a31a63ea4d9427d878d.pdf</filename><originalFilename>63136.pdf</originalFilename><uploaded>2023-04-13T12:09:50.9999447</uploaded><type>Output</type><contentLength>971232</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2024-04-24T15:40:21.5712784 v2 63136 2023-04-13 Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters adab4560ff08c8e5181ff3f12a4c36fb 0000-0002-8987-0883 Mohammad Monfared Mohammad Monfared true false 2023-04-13 ACEM This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids. The HAPF structure eliminates the resonance between the passive power filter and the grid impedance. Furthermore, it can be integrated into passive filters to enhance their filtering performance. In this paper, a digital algorithm is proposed for managing the performance of each converter leg accurately. To do so, an exact model of the high-order system is developed, and the transfer function of the plant is calculated in continuous and discrete time domains. Then, a predictive deadbeat technique for HAPF current control is presented, which benefits from high accuracy, fast dynamics, and low sensitivity to system parameter mismatches. Extensive simulation and experimental tests are conducted and the results match well to confirm the success and appropriate performance of the overall system. Also, performance comparison with conventional solutions demonstrates the superiority of the suggested filtering technique. Journal Article IEEE Transactions on Power Delivery 1 9 Institute of Electrical and Electronics Engineers (IEEE) 0885-8977 1937-4208 24 1 2024 2024-01-24 10.1109/tpwrd.2023.3262662 http://dx.doi.org/10.1109/tpwrd.2023.3262662 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2024-04-24T15:40:21.5712784 2023-04-13T09:00:54.1361054 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Mohammad-Sadegh Karbasforooshan 0000-0001-7039-3186 1 Mohammad Monfared 0000-0002-8987-0883 2 63136__27031__767e8485ca774a31a63ea4d9427d878d.pdf 63136.pdf 2023-04-13T12:09:50.9999447 Output 971232 application/pdf Accepted Manuscript true true eng
title Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters
spellingShingle Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters
Mohammad Monfared
title_short Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters
title_full Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters
title_fullStr Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters
title_full_unstemmed Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters
title_sort Adaptive Predictive Deadbeat Current Control of Single-Phase Multi-tuned Shunt Hybrid Active Power Filters
author_id_str_mv adab4560ff08c8e5181ff3f12a4c36fb
author_id_fullname_str_mv adab4560ff08c8e5181ff3f12a4c36fb_***_Mohammad Monfared
author Mohammad Monfared
author2 Mohammad-Sadegh Karbasforooshan
Mohammad Monfared
format Journal article
container_title IEEE Transactions on Power Delivery
container_start_page 1
publishDate 2024
institution Swansea University
issn 0885-8977
1937-4208
doi_str_mv 10.1109/tpwrd.2023.3262662
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
url http://dx.doi.org/10.1109/tpwrd.2023.3262662
document_store_str 1
active_str 0
description This paper suggests an adaptive predictive deadbeat current control method for single-phase multi-tuned shunt hybrid active power filters (HAPFs) to improve the power quality of single-phase and three-phase four-wire utility grids. The HAPF structure eliminates the resonance between the passive power filter and the grid impedance. Furthermore, it can be integrated into passive filters to enhance their filtering performance. In this paper, a digital algorithm is proposed for managing the performance of each converter leg accurately. To do so, an exact model of the high-order system is developed, and the transfer function of the plant is calculated in continuous and discrete time domains. Then, a predictive deadbeat technique for HAPF current control is presented, which benefits from high accuracy, fast dynamics, and low sensitivity to system parameter mismatches. Extensive simulation and experimental tests are conducted and the results match well to confirm the success and appropriate performance of the overall system. Also, performance comparison with conventional solutions demonstrates the superiority of the suggested filtering technique.
published_date 2024-01-24T08:06:14Z
_version_ 1829541956809654272
score 11.05816

Similar Items