Speed-Adaptive Droop Control for Doubly Fed Induction Generator-Based Gravity Energy Storage System.
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| Title: | Speed-Adaptive Droop Control for Doubly Fed Induction Generator-Based Gravity Energy Storage System. |
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| Authors: | He, Darui1 (AUTHOR), Li, Yan1,2 (AUTHOR), Cao, Chengjie1 (AUTHOR), Fan, Yifei1,2 (AUTHOR), Wang, Fei1 (AUTHOR), Zhang, Yuanshi2 (AUTHOR), Cheng, Chenwen2 (AUTHOR) chenwen_cheng@seu.edu.cn |
| Source: | Energies (19961073). Nov2025, Vol. 18 Issue 21, p5671. 19p. |
| Subjects: | Energy storage, Induction generators, Feedback control systems, Simulation methods & models, Simulink (Computer software) |
| Abstract: | In order to ensure the reliable operation of a gravity energy storage system and reduce a converter's cost and power rating, this paper proposes a gravity energy storage system (GESS) based on a doubly fed induction generator (DFIG). To address the issues of low inertia and limited grid-support capability, a speed-adaptive droop control strategy is introduced. The droop curve can be adjusted automatically according to the speed variation. Thereby, the GESS can effectively provide grid support through rotor-speed control. A simulation model of the DFIG-based GESS is developed in MATLAB/Simulink 2024b, and the grid-support capability of the proposed control strategy is verified under various operating conditions. [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: 189610930 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Speed-Adaptive Droop Control for Doubly Fed Induction Generator-Based Gravity Energy Storage System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22He%2C+Darui%22">He, Darui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yan%22">Li, Yan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cao%2C+Chengjie%22">Cao, Chengjie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Yifei%22">Fan, Yifei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Fei%22">Wang, Fei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yuanshi%22">Zhang, Yuanshi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cheng%2C+Chenwen%22">Cheng, Chenwen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> chenwen_cheng@seu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Nov2025, Vol. 18 Issue 21, p5671. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br /><searchLink fieldCode="DE" term="%22Induction+generators%22">Induction generators</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Simulink+%28Computer+software%29%22">Simulink (Computer software)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In order to ensure the reliable operation of a gravity energy storage system and reduce a converter's cost and power rating, this paper proposes a gravity energy storage system (GESS) based on a doubly fed induction generator (DFIG). To address the issues of low inertia and limited grid-support capability, a speed-adaptive droop control strategy is introduced. The droop curve can be adjusted automatically according to the speed variation. Thereby, the GESS can effectively provide grid support through rotor-speed control. A simulation model of the DFIG-based GESS is developed in MATLAB/Simulink 2024b, and the grid-support capability of the proposed control strategy is verified under various operating conditions. [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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189610930 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en18215671 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 5671 Subjects: – SubjectFull: Energy storage Type: general – SubjectFull: Induction generators Type: general – SubjectFull: Feedback control systems Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Simulink (Computer software) Type: general Titles: – TitleFull: Speed-Adaptive Droop Control for Doubly Fed Induction Generator-Based Gravity Energy Storage System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: He, Darui – PersonEntity: Name: NameFull: Li, Yan – PersonEntity: Name: NameFull: Cao, Chengjie – PersonEntity: Name: NameFull: Fan, Yifei – PersonEntity: Name: NameFull: Wang, Fei – PersonEntity: Name: NameFull: Zhang, Yuanshi – PersonEntity: Name: NameFull: Cheng, Chenwen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 21 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |