Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty.
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| Title: | Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty. |
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| Authors: | Mathur, Pulkit1 (AUTHOR), Swartz, Christopher L.E.1 (AUTHOR) swartzc@mcmaster.ca, Zyngier, Danielle2 (AUTHOR), Welt, Francois2 (AUTHOR) |
| Source: | Journal of Process Control. Feb2021, Vol. 98, p52-65. 14p. |
| Subjects: | Water power, Constraint satisfaction, Electric power, Scheduling, Electric power production, Microgrids |
| Abstract: | The uncertainties in system and model parameters arising from the volatility of market, weather and operating conditions pose a major challenge to the optimal short-term operation of cascaded hydropower systems. The dynamic operating environment resulting from the fluctuating parameters greatly impacts the scheduling of power generation and generating unit commitment in such systems. This article focuses on the development and implementation a novel rolling horizon robust online scheduling framework that utilizes stochastic optimization within a model-based feedback scheme to tackle the uncertainties in electricity prices, electric power demands, water inflows and plant model parameters. The efficacy of this approach is demonstrated through application to a variety of case studies for different types of uncertainty. Case studies demonstrate significant improvements in system performance with the proposed strategy, in terms of system economics and constraint satisfaction, over schedules generated without feedback or use of a nominal online scheduling scheme. • Novel scheme for robust online scheduling of cascaded hydropower systems. • Both continuous and discrete decisions modeled within robust scheduling framework. • Uncertainty management through stochastic optimization and feedback. • Uncertainty in electricity prices, demands, inflows and model parameters mitigated. • Comparison of performance between nominal and robust online scheduling strategies. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Process Control is the property of Elsevier B.V. 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: 148234573 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mathur%2C+Pulkit%22">Mathur, Pulkit</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Swartz%2C+Christopher+L%2EE%2E%22">Swartz, Christopher L.E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> swartzc@mcmaster.ca</i><br /><searchLink fieldCode="AR" term="%22Zyngier%2C+Danielle%22">Zyngier, Danielle</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Welt%2C+Francois%22">Welt, Francois</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Process+Control%22">Journal of Process Control</searchLink>. Feb2021, Vol. 98, p52-65. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Water+power%22">Water power</searchLink><br /><searchLink fieldCode="DE" term="%22Constraint+satisfaction%22">Constraint satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power%22">Electric power</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+production%22">Electric power production</searchLink><br /><searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The uncertainties in system and model parameters arising from the volatility of market, weather and operating conditions pose a major challenge to the optimal short-term operation of cascaded hydropower systems. The dynamic operating environment resulting from the fluctuating parameters greatly impacts the scheduling of power generation and generating unit commitment in such systems. This article focuses on the development and implementation a novel rolling horizon robust online scheduling framework that utilizes stochastic optimization within a model-based feedback scheme to tackle the uncertainties in electricity prices, electric power demands, water inflows and plant model parameters. The efficacy of this approach is demonstrated through application to a variety of case studies for different types of uncertainty. Case studies demonstrate significant improvements in system performance with the proposed strategy, in terms of system economics and constraint satisfaction, over schedules generated without feedback or use of a nominal online scheduling scheme. • Novel scheme for robust online scheduling of cascaded hydropower systems. • Both continuous and discrete decisions modeled within robust scheduling framework. • Uncertainty management through stochastic optimization and feedback. • Uncertainty in electricity prices, demands, inflows and model parameters mitigated. • Comparison of performance between nominal and robust online scheduling strategies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Process Control is the property of Elsevier B.V. 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: 10.1016/j.jprocont.2020.12.005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 52 Subjects: – SubjectFull: Water power Type: general – SubjectFull: Constraint satisfaction Type: general – SubjectFull: Electric power Type: general – SubjectFull: Scheduling Type: general – SubjectFull: Electric power production Type: general – SubjectFull: Microgrids Type: general Titles: – TitleFull: Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mathur, Pulkit – PersonEntity: Name: NameFull: Swartz, Christopher L.E. – PersonEntity: Name: NameFull: Zyngier, Danielle – PersonEntity: Name: NameFull: Welt, Francois IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 09591524 Numbering: – Type: volume Value: 98 Titles: – TitleFull: Journal of Process Control Type: main |
| ResultId | 1 |
