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A Data-Driven Finite-State Machine-Based Control for Hybrid Parallel Multiconverters: Fusion Topology for High-Power Applications
Pang,Ying1,2; Bai,Ziyi3,4; Xiang,Zeng3,4; Wang,Lei5; Wong,Chi Kong3,4; Lam,Chi Seng1,4; Ma,Fujun6; Che,Liang4; Wong,Man Chung4,7
2023-12
Source PublicationIEEE Transactions on Industrial Electronics
ISSN0278-0046
Volume70Issue:12Pages:11853-11864
Abstract

In this article, the concept of fusion topology is proposed to tackle the development trend and control issue of hybrid parallel multiconverter applications and to achieve better performance in transient and steady-state operations. Compared to previously fixed frequency compensation strategies, data-driven finite-state machine (FSM) control can determine which voltage source converter (VSC) dominates the operation or whether two VSCs operate simultaneously rather than giving the specific target operation to each VSC alone. The results are verified by a real-time digital simulator (RTDS) with the hardware-in-the-loop (HIL) experiments. The 20 kVA RTDS experimental results show that the transient time is shorter by 53.8%-85.7%, and power loss is smaller by 28.6%-78.3%, respectively, compared with the previous methods.

KeywordData-driven Control High Power Multiconverter Power Quality Voltage Source Converter (Vsc)
DOI10.1109/TIE.2023.3234126
URLView the original
Indexed BySCIE ; EI
Language英語English
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:001013415800002
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85147204351
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorWang,Lei; Wong,Man Chung
Affiliation1.Jilin University,Key Laboratory of Geophysical Exploration Equipment,Ministry of Education,Changchun,130021,China
2.University of Macau,999078,Macao
3.University of Macau,State Key Laboratory of Internet of Things for Smart City,999078,Macao
4.University of Macau,Department of Electrical and Computer Engineering,Faculty of Science and Technology,99078,Macao
5.Hunan University,College of Electrical and Information Engineering,Changsha,410000,China
6.University of Macau,Institute of Microelectronics,999078,Macao
7.University of Macau,State Key Laboratory of Analog and Mixed-Signal Vlsi,999078,Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationFaculty of Science and Technology;  University of Macau
Recommended Citation
GB/T 7714
Pang,Ying,Bai,Ziyi,Xiang,Zeng,et al. A Data-Driven Finite-State Machine-Based Control for Hybrid Parallel Multiconverters: Fusion Topology for High-Power Applications[J]. IEEE Transactions on Industrial Electronics, 2023, 70(12), 11853-11864.
APA Pang,Ying., Bai,Ziyi., Xiang,Zeng., Wang,Lei., Wong,Chi Kong., Lam,Chi Seng., Ma,Fujun., Che,Liang., & Wong,Man Chung (2023). A Data-Driven Finite-State Machine-Based Control for Hybrid Parallel Multiconverters: Fusion Topology for High-Power Applications. IEEE Transactions on Industrial Electronics, 70(12), 11853-11864.
MLA Pang,Ying,et al."A Data-Driven Finite-State Machine-Based Control for Hybrid Parallel Multiconverters: Fusion Topology for High-Power Applications".IEEE Transactions on Industrial Electronics 70.12(2023):11853-11864.
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