An Adaptive Inertia and Damping Control Strategy for Virtual Synchronous Generators to Enhance Transient Performance.
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| Title: | An Adaptive Inertia and Damping Control Strategy for Virtual Synchronous Generators to Enhance Transient Performance. |
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| Authors: | Tang, Wenzuo1 (AUTHOR), Li, Bo1,2 (AUTHOR), Shao, Xianqi1 (AUTHOR), Ye, Yun1,2 (AUTHOR), Yu, Yue1 (AUTHOR), Chen, Jiawei2 (AUTHOR) echenjw@cqu.edu.cn |
| Source: | Energies (19961073). Jan2026, Vol. 19 Issue 1, p204. 16p. |
| Subjects: | Synchronous generators, Damping (Mechanics), Dynamic simulation, Feedback control system stability, Power supply quality, Transients (Dynamics), Adaptive control systems |
| Abstract: | Virtual synchronous generator (VSG) technology introduces synthetic rotational inertia and damping into inverter-based systems, thereby enhancing regulation performance under grid-connected operation. However, the output characteristics of VSGs are strongly influenced by virtual inertia and damping. This paper develops a self-tuning inertia–damping coordination mechanism for VSGs. The coupling between virtual inertia and damping with respect to grid power quality is systematically investigated, and a power-angle dynamic response model for synchronous generators (SGs) under extreme operating conditions is established. Building on these results, an improved adaptive control strategy for the VSG's virtual inertia and damping is proposed. The proposed strategy detects changes in frequency and load power, enabling adaptive tuning of virtual inertia and damping in response to system variations, thereby reducing frequency overshoot while accelerating the dynamic response. The effectiveness of the proposed strategy is validated by hardware-in-the-loop real-time simulations. [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: 190785350 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Adaptive Inertia and Damping Control Strategy for Virtual Synchronous Generators to Enhance Transient Performance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tang%2C+Wenzuo%22">Tang, Wenzuo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Bo%22">Li, Bo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shao%2C+Xianqi%22">Shao, Xianqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Yun%22">Ye, Yun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Yue%22">Yu, Yue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Jiawei%22">Chen, Jiawei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> echenjw@cqu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jan2026, Vol. 19 Issue 1, p204. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Synchronous+generators%22">Synchronous generators</searchLink><br /><searchLink fieldCode="DE" term="%22Damping+%28Mechanics%29%22">Damping (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+simulation%22">Dynamic simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+system+stability%22">Feedback control system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Power+supply+quality%22">Power supply quality</searchLink><br /><searchLink fieldCode="DE" term="%22Transients+%28Dynamics%29%22">Transients (Dynamics)</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Virtual synchronous generator (VSG) technology introduces synthetic rotational inertia and damping into inverter-based systems, thereby enhancing regulation performance under grid-connected operation. However, the output characteristics of VSGs are strongly influenced by virtual inertia and damping. This paper develops a self-tuning inertia–damping coordination mechanism for VSGs. The coupling between virtual inertia and damping with respect to grid power quality is systematically investigated, and a power-angle dynamic response model for synchronous generators (SGs) under extreme operating conditions is established. Building on these results, an improved adaptive control strategy for the VSG's virtual inertia and damping is proposed. The proposed strategy detects changes in frequency and load power, enabling adaptive tuning of virtual inertia and damping in response to system variations, thereby reducing frequency overshoot while accelerating the dynamic response. The effectiveness of the proposed strategy is validated by hardware-in-the-loop real-time simulations. [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/en19010204 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 204 Subjects: – SubjectFull: Synchronous generators Type: general – SubjectFull: Damping (Mechanics) Type: general – SubjectFull: Dynamic simulation Type: general – SubjectFull: Feedback control system stability Type: general – SubjectFull: Power supply quality Type: general – SubjectFull: Transients (Dynamics) Type: general – SubjectFull: Adaptive control systems Type: general Titles: – TitleFull: An Adaptive Inertia and Damping Control Strategy for Virtual Synchronous Generators to Enhance Transient Performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tang, Wenzuo – PersonEntity: Name: NameFull: Li, Bo – PersonEntity: Name: NameFull: Shao, Xianqi – PersonEntity: Name: NameFull: Ye, Yun – PersonEntity: Name: NameFull: Yu, Yue – PersonEntity: Name: NameFull: Chen, Jiawei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: Energies (19961073) Type: main |
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