A Bi-Level Reactive Power Optimization for Wind Clusters Integrating the Power Grid While Considering the Reactive Capability.
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| Title: | A Bi-Level Reactive Power Optimization for Wind Clusters Integrating the Power Grid While Considering the Reactive Capability. |
|---|---|
| Authors: | Ma, Xiping1 (AUTHOR) maxpgs@163.com, Zhen, Wenxi1 (AUTHOR), Xu, Rui1 (AUTHOR), Dong, Xiaoyang1 (AUTHOR), Li, Yaxin1 (AUTHOR) |
| Source: | Energies (19961073). Aug2024, Vol. 17 Issue 16, p3910. 18p. |
| Subjects: | Reactive power, Fish schooling, Wind power, Bilevel programming, Wind power plants |
| Abstract: | With the integration of large-scale wind power clusters into the power system, wind farms play a crucial role in grid reactive power regulation. However, the range of its reactive power remains uncertain, posing challenges in formulating a viable program for regulating reactive power to ensure the safe and cost-effective operation of the power system. Based on this, this paper develops a bi-level reactive power optimization for wind clusters integrating the power grid while considering the reactive capability. Firstly, this paper carries out a refined analysis of the wind power clusters, taking into account the characteristics of different areas to estimate the exact value of the reactive power capability in wind power clusters. Secondly, a bi-level reactive power optimization model is established. The upper-layer optimization aims to minimize active losses and voltage deviation in power system operation, while the lower-layer optimization focuses on maximizing reactive power margin utilization in wind farms. To solve this bi-level optimization model, an improved artificial fish swarm algorithm (AFSA) is employed, which decouples real variables and integer variables to enhance the optimization ability of the algorithm. Finally, the effectiveness of our proposed optimization strategy and algorithm is validated through the simulation results. [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: 179354892 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Bi-Level Reactive Power Optimization for Wind Clusters Integrating the Power Grid While Considering the Reactive Capability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ma%2C+Xiping%22">Ma, Xiping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> maxpgs@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhen%2C+Wenxi%22">Zhen, Wenxi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Rui%22">Xu, Rui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Xiaoyang%22">Dong, Xiaoyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Yaxin%22">Li, Yaxin</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Aug2024, Vol. 17 Issue 16, p3910. 18p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Reactive+power%22">Reactive power</searchLink><br /><searchLink fieldCode="DE" term="%22Fish+schooling%22">Fish schooling</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink><br /><searchLink fieldCode="DE" term="%22Bilevel+programming%22">Bilevel programming</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+power+plants%22">Wind power plants</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the integration of large-scale wind power clusters into the power system, wind farms play a crucial role in grid reactive power regulation. However, the range of its reactive power remains uncertain, posing challenges in formulating a viable program for regulating reactive power to ensure the safe and cost-effective operation of the power system. Based on this, this paper develops a bi-level reactive power optimization for wind clusters integrating the power grid while considering the reactive capability. Firstly, this paper carries out a refined analysis of the wind power clusters, taking into account the characteristics of different areas to estimate the exact value of the reactive power capability in wind power clusters. Secondly, a bi-level reactive power optimization model is established. The upper-layer optimization aims to minimize active losses and voltage deviation in power system operation, while the lower-layer optimization focuses on maximizing reactive power margin utilization in wind farms. To solve this bi-level optimization model, an improved artificial fish swarm algorithm (AFSA) is employed, which decouples real variables and integer variables to enhance the optimization ability of the algorithm. Finally, the effectiveness of our proposed optimization strategy and algorithm is validated through the simulation results. [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/en17163910 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 3910 Subjects: – SubjectFull: Reactive power Type: general – SubjectFull: Fish schooling Type: general – SubjectFull: Wind power Type: general – SubjectFull: Bilevel programming Type: general – SubjectFull: Wind power plants Type: general Titles: – TitleFull: A Bi-Level Reactive Power Optimization for Wind Clusters Integrating the Power Grid While Considering the Reactive Capability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Xiping – PersonEntity: Name: NameFull: Zhen, Wenxi – PersonEntity: Name: NameFull: Xu, Rui – PersonEntity: Name: NameFull: Dong, Xiaoyang – PersonEntity: Name: NameFull: Li, Yaxin IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 17 – Type: issue Value: 16 Titles: – TitleFull: Energies (19961073) Type: main |
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