Power quality enhancement in single phase two level/five level converters using adaptive-RBFNN algorithm.
Saved in:
| Title: | Power quality enhancement in single phase two level/five level converters using adaptive-RBFNN algorithm. |
|---|---|
| Authors: | Mittal, Sudhanshu1 (AUTHOR) sudhanshu15mittal@gmail.com, Singh, Alka1 (AUTHOR) alkasingh.eed@gmail.com, Chittora, Prakash1 (AUTHOR) prakashchittora@gmail.com |
| Source: | Electrical Engineering. Dec2024, Vol. 106 Issue 6, p7565-7578. 14p. |
| Subjects: | Radial basis functions, Integrated circuit verification, Electric power filters, Algorithms, Voltage |
| Abstract: | This paper presents Adaptive Radial Basis Function Neural Network (A-RBFNN) algorithm for the control of two level and five level converters. This paper investigates the performance of five level cascaded H-bridge (CHB) multilevel converter as compared to two level converters in power distribution system to improve power quality of connected system. The CHB multilevel inverter is a popular configuration because of its wide application for high power medium voltage requirement. The power system including two level (2L) and five level (5L) converter is modeled in MATLAB environment. Experimental setup is also developed in the laboratory for hardware verification purpose and both the 2L and 5L CHB converters are integrated to single phase system as compensators. The A-RBFNN algorithm is able to regulate the DC link voltages to its rated value for two H-bridges in 5L configuration. The designed algorithm is able to compensate for PQ issues of the connected system. It is also tested under steady state and dynamic conditions. Further, A-RBFNN is used to extract individual harmonics of any desired order. Finally, comparison is presented based on the performance results of the proposed algorithm with 2L as well as 5L converters. [ABSTRACT FROM AUTHOR] |
| Copyright of Electrical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 181710719 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Power quality enhancement in single phase two level/five level converters using adaptive-RBFNN algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mittal%2C+Sudhanshu%22">Mittal, Sudhanshu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sudhanshu15mittal@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Singh%2C+Alka%22">Singh, Alka</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alkasingh.eed@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chittora%2C+Prakash%22">Chittora, Prakash</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> prakashchittora@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electrical+Engineering%22">Electrical Engineering</searchLink>. Dec2024, Vol. 106 Issue 6, p7565-7578. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Radial+basis+functions%22">Radial basis functions</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+circuit+verification%22">Integrated circuit verification</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+filters%22">Electric power filters</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage%22">Voltage</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents Adaptive Radial Basis Function Neural Network (A-RBFNN) algorithm for the control of two level and five level converters. This paper investigates the performance of five level cascaded H-bridge (CHB) multilevel converter as compared to two level converters in power distribution system to improve power quality of connected system. The CHB multilevel inverter is a popular configuration because of its wide application for high power medium voltage requirement. The power system including two level (2L) and five level (5L) converter is modeled in MATLAB environment. Experimental setup is also developed in the laboratory for hardware verification purpose and both the 2L and 5L CHB converters are integrated to single phase system as compensators. The A-RBFNN algorithm is able to regulate the DC link voltages to its rated value for two H-bridges in 5L configuration. The designed algorithm is able to compensate for PQ issues of the connected system. It is also tested under steady state and dynamic conditions. Further, A-RBFNN is used to extract individual harmonics of any desired order. Finally, comparison is presented based on the performance results of the proposed algorithm with 2L as well as 5L converters. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electrical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=181710719 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00202-024-02432-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 7565 Subjects: – SubjectFull: Radial basis functions Type: general – SubjectFull: Integrated circuit verification Type: general – SubjectFull: Electric power filters Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Voltage Type: general Titles: – TitleFull: Power quality enhancement in single phase two level/five level converters using adaptive-RBFNN algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mittal, Sudhanshu – PersonEntity: Name: NameFull: Singh, Alka – PersonEntity: Name: NameFull: Chittora, Prakash IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09487921 Numbering: – Type: volume Value: 106 – Type: issue Value: 6 Titles: – TitleFull: Electrical Engineering Type: main |
| ResultId | 1 |