Analysis of Renewable Energy Absorption Potential via Security-Constrained Power System Production Simulation.
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| Title: | Analysis of Renewable Energy Absorption Potential via Security-Constrained Power System Production Simulation. |
|---|---|
| Authors: | Feng, Zhihui1 (AUTHOR), Zhang, Yaozhong1,2 (AUTHOR), Liu, Jiaqi1 (AUTHOR), Wang, Tao1,2 (AUTHOR), Cai, Ping1 (AUTHOR), Xu, Lixiong2 (AUTHOR) xulixiong@163.com |
| Source: | Energies (19961073). Jun2025, Vol. 18 Issue 11, p2994. 23p. |
| Subjects: | Power system simulation, Renewable energy sources, Hierarchical clustering (Cluster analysis), Computational complexity, Potential energy |
| Abstract: | The increasing penetration of renewable energy sources presents significant challenges for power system stability and operation. Accurately assessing renewable energy absorption capacity is essential to ensuring grid reliability while maximizing renewable integration. This paper proposes a security-constrained sequential production simulation (SPS) framework, which incorporates grid voltage and frequency support constraints to provide a more realistic evaluation of renewable energy absorption capability. Additionally, hierarchical clustering (HC) based on dynamic time warping (DTW) and min-max linkage is employed for temporal aggregation (TA), significantly reducing computational complexity while preserving key system characteristics. A case study on the IEEE 39-bus system, integrating wind and photovoltaic generation alongside high-voltage direct current (HVDC) transmission, demonstrates the effectiveness of the proposed approach. The results show that the security-constrained SPS successfully prevents overvoltage and frequency deviations by bringing additional conventional units online. The study also highlights that increasing grid demand, both locally and through HVDC export, enhances renewable energy absorption, though adequate grid support remains crucial. [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: 185868167 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analysis of Renewable Energy Absorption Potential via Security-Constrained Power System Production Simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Feng%2C+Zhihui%22">Feng, Zhihui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yaozhong%22">Zhang, Yaozhong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Jiaqi%22">Liu, Jiaqi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Tao%22">Wang, Tao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cai%2C+Ping%22">Cai, Ping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Lixiong%22">Xu, Lixiong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xulixiong@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2025, Vol. 18 Issue 11, p2994. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Power+system+simulation%22">Power system simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22Hierarchical+clustering+%28Cluster+analysis%29%22">Hierarchical clustering (Cluster analysis)</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Potential+energy%22">Potential energy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The increasing penetration of renewable energy sources presents significant challenges for power system stability and operation. Accurately assessing renewable energy absorption capacity is essential to ensuring grid reliability while maximizing renewable integration. This paper proposes a security-constrained sequential production simulation (SPS) framework, which incorporates grid voltage and frequency support constraints to provide a more realistic evaluation of renewable energy absorption capability. Additionally, hierarchical clustering (HC) based on dynamic time warping (DTW) and min-max linkage is employed for temporal aggregation (TA), significantly reducing computational complexity while preserving key system characteristics. A case study on the IEEE 39-bus system, integrating wind and photovoltaic generation alongside high-voltage direct current (HVDC) transmission, demonstrates the effectiveness of the proposed approach. The results show that the security-constrained SPS successfully prevents overvoltage and frequency deviations by bringing additional conventional units online. The study also highlights that increasing grid demand, both locally and through HVDC export, enhances renewable energy absorption, though adequate grid support remains crucial. [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/en18112994 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 2994 Subjects: – SubjectFull: Power system simulation Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: Hierarchical clustering (Cluster analysis) Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Potential energy Type: general Titles: – TitleFull: Analysis of Renewable Energy Absorption Potential via Security-Constrained Power System Production Simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Feng, Zhihui – PersonEntity: Name: NameFull: Zhang, Yaozhong – PersonEntity: Name: NameFull: Liu, Jiaqi – PersonEntity: Name: NameFull: Wang, Tao – PersonEntity: Name: NameFull: Cai, Ping – PersonEntity: Name: NameFull: Xu, Lixiong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 11 Titles: – TitleFull: Energies (19961073) Type: main |
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