A Semi-Analytical Method for the Identification of DC-Decay Parameters at an Arbitrary Rotor Position in Large Synchronous Machines.
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| Title: | A Semi-Analytical Method for the Identification of DC-Decay Parameters at an Arbitrary Rotor Position in Large Synchronous Machines. |
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| Authors: | Lai, Zhenming1,2 (AUTHOR) scxclaizhm@powerchina.cn, Kang, Haoyu3 (AUTHOR) haoyukanghust@163.com, Liu, Demin4 (AUTHOR) liudemin@dongfang.com, Wang, Zhichao4 (AUTHOR) yangy7604@dongfang.com, Yang, Yong4 (AUTHOR), Wang, Jin3 (AUTHOR) hustwj@126.com |
| Source: | Energies (19961073). Jan2025, Vol. 18 Issue 2, p279. 14p. |
| Subjects: | Particle swarm optimization, Arbitrary constants, Transient analysis, Conformance testing, Test methods |
| Abstract: | Experimental approaches for the identification of dynamic parameters in synchronous machines mainly include two methods, a three-phase sudden short-circuit (TPSSC) test and a standstill frequency response (SSFR) test. However, the former has significant safety risks, while the latter has a complex implementation process, resulting in insufficient adaptability to large-scale units. To overcome the above obstacles, this paper proposes an improved DC-decay test method that can be performed at an arbitrary rotor position so that the rotor pre-positioning process in the conventional DC-decay test can be neglected. Meanwhile, combining the transient analysis theory and particle swarm optimization algorithm, a semi-analytical parameter identification method is proposed. Finally, the proposed method is applied using a 172 MVA large synchronous machine. Compared to the results obtained by the TPSSC test using the Prony algorithm and other conventional type tests, the error of the parameter calculation results obtained with the conventional method reached a maximum of 16.6%, while that of the proposed method was merely 8.6%, and the experimental period could be shortened from 5 days to half a day. [ABSTRACT FROM AUTHOR] |
| Copyright of Energies (19961073) is the property of MDPI 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 182443621 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Semi-Analytical Method for the Identification of DC-Decay Parameters at an Arbitrary Rotor Position in Large Synchronous Machines. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lai%2C+Zhenming%22">Lai, Zhenming</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> scxclaizhm@powerchina.cn</i><br /><searchLink fieldCode="AR" term="%22Kang%2C+Haoyu%22">Kang, Haoyu</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> haoyukanghust@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Demin%22">Liu, Demin</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> liudemin@dongfang.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhichao%22">Wang, Zhichao</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> yangy7604@dongfang.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Yong%22">Yang, Yong</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Jin%22">Wang, Jin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> hustwj@126.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jan2025, Vol. 18 Issue 2, p279. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Arbitrary+constants%22">Arbitrary constants</searchLink><br /><searchLink fieldCode="DE" term="%22Transient+analysis%22">Transient analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Conformance+testing%22">Conformance testing</searchLink><br /><searchLink fieldCode="DE" term="%22Test+methods%22">Test methods</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Experimental approaches for the identification of dynamic parameters in synchronous machines mainly include two methods, a three-phase sudden short-circuit (TPSSC) test and a standstill frequency response (SSFR) test. However, the former has significant safety risks, while the latter has a complex implementation process, resulting in insufficient adaptability to large-scale units. To overcome the above obstacles, this paper proposes an improved DC-decay test method that can be performed at an arbitrary rotor position so that the rotor pre-positioning process in the conventional DC-decay test can be neglected. Meanwhile, combining the transient analysis theory and particle swarm optimization algorithm, a semi-analytical parameter identification method is proposed. Finally, the proposed method is applied using a 172 MVA large synchronous machine. Compared to the results obtained by the TPSSC test using the Prony algorithm and other conventional type tests, the error of the parameter calculation results obtained with the conventional method reached a maximum of 16.6%, while that of the proposed method was merely 8.6%, and the experimental period could be shortened from 5 days to half a day. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energies (19961073) is the property of MDPI 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en18020279 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 279 Subjects: – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Arbitrary constants Type: general – SubjectFull: Transient analysis Type: general – SubjectFull: Conformance testing Type: general – SubjectFull: Test methods Type: general Titles: – TitleFull: A Semi-Analytical Method for the Identification of DC-Decay Parameters at an Arbitrary Rotor Position in Large Synchronous Machines. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lai, Zhenming – PersonEntity: Name: NameFull: Kang, Haoyu – PersonEntity: Name: NameFull: Liu, Demin – PersonEntity: Name: NameFull: Wang, Zhichao – PersonEntity: Name: NameFull: Yang, Yong – PersonEntity: Name: NameFull: Wang, Jin IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: Energies (19961073) Type: main |
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