UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Analysis and Control of the Injected Type-Adaptive Impedance (IT-AI) Inverter for Low-Capacity Requirement
Zhang, Kai1; Wang, Lei1; Lv, Yuan1; Yang, Chunyuan1; Wong, Man Chung2
2024-11
Source PublicationIEEE Transactions on Industrial Electronics
ISSN0278-0046
Volume71Issue:11Pages:13513-13523
Abstract

In this article, an injected type-adaptive impedance (IT-AI) inverter is proposed for low inverter capacity requirement and wide reactive power compensation range. Different fromthe traditional coupling impedance, the IT-AI is not only used to reduce the voltage stress of the inverter but also to reduce current stress. Moreover, the adaptive impedance in the injection circuit can expand the reactive power compensation range without the additional harmonics. However, there is a risk of fundamental frequency resonance between the inverter and IT-AI. To overcome this challenge, the resonance phenomenon is analyzed through amplitude–frequency characteristics of the inverter current. Then, an additional damping control strategy is proposed to suppress resonance at the fundamental frequency, which is composed of a moving average filter (MAF) and virtual resistor–capacitor connected in series on the d-q coordinate system. Finally, representative simulations and experiments are carried out to verify the performance and effect of the proposed IT-AI inverter. The results show the proposed inverter has a lower capacity requirement compared to traditional coupling impedance inverter and the proposed control strategy has excellent damping control performance.

KeywordDamping Control Fundamental Frequency Resonance Injected Type-adaptive Impedance (It-ai) Inverter Low Inverter Capacity Requirement Wide Reactive Power Compensation Range
DOI10.1109/TIE.2024.3383045
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS IDWOS:001298702900027
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85190800455
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorWang, Lei
Affiliation1.College of Electrical and Information Engineering, Hunan University, Changsha 410012, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao 999078, China
3.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao 999078, China
Recommended Citation
GB/T 7714
Zhang, Kai,Wang, Lei,Lv, Yuan,et al. Analysis and Control of the Injected Type-Adaptive Impedance (IT-AI) Inverter for Low-Capacity Requirement[J]. IEEE Transactions on Industrial Electronics, 2024, 71(11), 13513-13523.
APA Zhang, Kai., Wang, Lei., Lv, Yuan., Yang, Chunyuan., & Wong, Man Chung (2024). Analysis and Control of the Injected Type-Adaptive Impedance (IT-AI) Inverter for Low-Capacity Requirement. IEEE Transactions on Industrial Electronics, 71(11), 13513-13523.
MLA Zhang, Kai,et al."Analysis and Control of the Injected Type-Adaptive Impedance (IT-AI) Inverter for Low-Capacity Requirement".IEEE Transactions on Industrial Electronics 71.11(2024):13513-13523.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Kai]'s Articles
[Wang, Lei]'s Articles
[Lv, Yuan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Kai]'s Articles
[Wang, Lei]'s Articles
[Lv, Yuan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Kai]'s Articles
[Wang, Lei]'s Articles
[Lv, Yuan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.