A High-Precision, All-Rectangle-Based Method Linearly Concave Hydropower Output in Long-Term Reservoir Operation.
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| Title: | A High-Precision, All-Rectangle-Based Method Linearly Concave Hydropower Output in Long-Term Reservoir Operation. |
|---|---|
| Authors: | Zheng, Hao1,2,3 (AUTHOR), Huang, Yan1,2,4 (AUTHOR), Wang, Yongqiang1,2,3 (AUTHOR), Hou, Feixiang4,5 (AUTHOR), Xu, Yong5 (AUTHOR), Chen, Cheng3,5,6 (AUTHOR), Feng, Suzhen3,6,7 (AUTHOR), Wang, Jinwen3,7 (AUTHOR) jinwen.wang@hust.edu.cn |
| Source: | Energies (19961073). Oct2025, Vol. 18 Issue 19, p5102. 23p. |
| Subjects: | Water power, Concave functions, Approximation error, Mathematical simplification, Water storage, Mathematical programming, Mathematical functions |
| Abstract: | The nonlinearity and non-convexity of the hydropower output function (HOF) make it very challenging to search for the optimal solution to the hydropower scheduling problem, which, however, can be more easily solved with consistency by mathematical programming if the HOF can be properly linearized with high accuracy. In this paper, a detailed review of different linear concaving approximation methods to model the HOF is presented, and a high-precision, all-rectangle linear concaving approximation method is proposed. It avoids the drawback of existing rectangular grid linear approximation methods which introduce a large number of integer variables and reduce solution efficiency by avoiding the accurate expression of fitting error at the corner points. It is mathematically proved that the method based on this rectangular subdivision can converge to any concave function with arbitrary precision as the grid resolution increases. The approximated results of the output functions of the four cascaded hydropower plants in the Lancang River show that both the proposed method and the existing method can reduce the average fitting error from 2.16% of installed capacity to 1.49% compared to the high-efficiency method. Although the proposed method is slower in solving speed than the high-efficiency method, it is significantly better than the unstable existing method. [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: 188680717 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A High-Precision, All-Rectangle-Based Method Linearly Concave Hydropower Output in Long-Term Reservoir Operation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zheng%2C+Hao%22">Zheng, Hao</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Yan%22">Huang, Yan</searchLink><relatesTo>1,2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yongqiang%22">Wang, Yongqiang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hou%2C+Feixiang%22">Hou, Feixiang</searchLink><relatesTo>4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Yong%22">Xu, Yong</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Cheng%22">Chen, Cheng</searchLink><relatesTo>3,5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feng%2C+Suzhen%22">Feng, Suzhen</searchLink><relatesTo>3,6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Jinwen%22">Wang, Jinwen</searchLink><relatesTo>3,7</relatesTo> (AUTHOR)<i> jinwen.wang@hust.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Oct2025, Vol. 18 Issue 19, p5102. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Water+power%22">Water power</searchLink><br /><searchLink fieldCode="DE" term="%22Concave+functions%22">Concave functions</searchLink><br /><searchLink fieldCode="DE" term="%22Approximation+error%22">Approximation error</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+simplification%22">Mathematical simplification</searchLink><br /><searchLink fieldCode="DE" term="%22Water+storage%22">Water storage</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+functions%22">Mathematical functions</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The nonlinearity and non-convexity of the hydropower output function (HOF) make it very challenging to search for the optimal solution to the hydropower scheduling problem, which, however, can be more easily solved with consistency by mathematical programming if the HOF can be properly linearized with high accuracy. In this paper, a detailed review of different linear concaving approximation methods to model the HOF is presented, and a high-precision, all-rectangle linear concaving approximation method is proposed. It avoids the drawback of existing rectangular grid linear approximation methods which introduce a large number of integer variables and reduce solution efficiency by avoiding the accurate expression of fitting error at the corner points. It is mathematically proved that the method based on this rectangular subdivision can converge to any concave function with arbitrary precision as the grid resolution increases. The approximated results of the output functions of the four cascaded hydropower plants in the Lancang River show that both the proposed method and the existing method can reduce the average fitting error from 2.16% of installed capacity to 1.49% compared to the high-efficiency method. Although the proposed method is slower in solving speed than the high-efficiency method, it is significantly better than the unstable existing method. [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/en18195102 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 5102 Subjects: – SubjectFull: Water power Type: general – SubjectFull: Concave functions Type: general – SubjectFull: Approximation error Type: general – SubjectFull: Mathematical simplification Type: general – SubjectFull: Water storage Type: general – SubjectFull: Mathematical programming Type: general – SubjectFull: Mathematical functions Type: general Titles: – TitleFull: A High-Precision, All-Rectangle-Based Method Linearly Concave Hydropower Output in Long-Term Reservoir Operation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zheng, Hao – PersonEntity: Name: NameFull: Huang, Yan – PersonEntity: Name: NameFull: Wang, Yongqiang – PersonEntity: Name: NameFull: Hou, Feixiang – PersonEntity: Name: NameFull: Xu, Yong – PersonEntity: Name: NameFull: Chen, Cheng – PersonEntity: Name: NameFull: Feng, Suzhen – PersonEntity: Name: NameFull: Wang, Jinwen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 19 Titles: – TitleFull: Energies (19961073) Type: main |
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