Research on the LFC Method with the Dynamic Cooperation of WTG and BESS Based on Multi-Objective Optimization.
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| Title: | Research on the LFC Method with the Dynamic Cooperation of WTG and BESS Based on Multi-Objective Optimization. |
|---|---|
| Authors: | Zhao, Xilin1 (AUTHOR) zhaoxl@hbut.edu.cn, Li, Pin1 (AUTHOR), Fu, Bo1 (AUTHOR) |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Mar2026, Vol. 51 Issue 6, p8481-8496. 16p. |
| Subjects: | Battery storage plants, Multi-objective optimization, Frequency response, Electric power system stability, Renewable natural resources, Turbine generators |
| Abstract: | The increase in the use of renewable energy, such as wind power, has a significant impact on the stable operation of the power system and presents challenges for frequency modulation (FM). Therefore, a load frequency control (LFC) method with cooperation of wind turbine generator (WTG) and battery energy storage system (BESS) with dynamic adjustment participation is proposed. Firstly, a multi-area interconnected LFC model with WTG and BESS is constructed, FM demand and the rules of WTG and BESS cooperation are analyzed. Then, due to the temporal and spatial differences in frequency representation, an enhanced control link (ECL) with areal disturbance identification (ADI) is designed, in order to more targeted FM measures adopt for different areas. In addition, considering the coupling relationship between FM effects and wind power costs, BESS cycle life, and carbon emissions, a multi-objective optimization problem is designed to optimize the comprehensive benefits of FM. The simulation results show that compared with traditional control methods, the proposed control method can more fully utilize the FM capability of BESS. It achieves an optimal balance among indicators such as FM effectiveness, cost, and BESS cycle life, ensuring the maximum overall benefits of frequency regulation in the power system. [ABSTRACT FROM AUTHOR] |
| Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193141729 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on the LFC Method with the Dynamic Cooperation of WTG and BESS Based on Multi-Objective Optimization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Xilin%22">Zhao, Xilin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhaoxl@hbut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Pin%22">Li, Pin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fu%2C+Bo%22">Fu, Bo</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Arabian+Journal+for+Science+%26+Engineering+%28Springer+Science+%26+Business+Media+B%2EV%2E+%29%22">Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. )</searchLink>. Mar2026, Vol. 51 Issue 6, p8481-8496. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Battery+storage+plants%22">Battery storage plants</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+response%22">Frequency response</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+system+stability%22">Electric power system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+natural+resources%22">Renewable natural resources</searchLink><br /><searchLink fieldCode="DE" term="%22Turbine+generators%22">Turbine generators</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The increase in the use of renewable energy, such as wind power, has a significant impact on the stable operation of the power system and presents challenges for frequency modulation (FM). Therefore, a load frequency control (LFC) method with cooperation of wind turbine generator (WTG) and battery energy storage system (BESS) with dynamic adjustment participation is proposed. Firstly, a multi-area interconnected LFC model with WTG and BESS is constructed, FM demand and the rules of WTG and BESS cooperation are analyzed. Then, due to the temporal and spatial differences in frequency representation, an enhanced control link (ECL) with areal disturbance identification (ADI) is designed, in order to more targeted FM measures adopt for different areas. In addition, considering the coupling relationship between FM effects and wind power costs, BESS cycle life, and carbon emissions, a multi-objective optimization problem is designed to optimize the comprehensive benefits of FM. The simulation results show that compared with traditional control methods, the proposed control method can more fully utilize the FM capability of BESS. It achieves an optimal balance among indicators such as FM effectiveness, cost, and BESS cycle life, ensuring the maximum overall benefits of frequency regulation in the power system. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13369-025-10672-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 8481 Subjects: – SubjectFull: Battery storage plants Type: general – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Frequency response Type: general – SubjectFull: Electric power system stability Type: general – SubjectFull: Renewable natural resources Type: general – SubjectFull: Turbine generators Type: general Titles: – TitleFull: Research on the LFC Method with the Dynamic Cooperation of WTG and BESS Based on Multi-Objective Optimization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhao, Xilin – PersonEntity: Name: NameFull: Li, Pin – PersonEntity: Name: NameFull: Fu, Bo IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2193567X Numbering: – Type: volume Value: 51 – Type: issue Value: 6 Titles: – TitleFull: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) Type: main |
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