Uncertainty management via online scheduling for optimal short-term operation of cascaded hydropower systems.
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| Title: | Uncertainty management via online scheduling for optimal short-term operation of cascaded hydropower systems. |
|---|---|
| Authors: | Mathur, Pulkit1 (AUTHOR), Swartz, Christopher L.E.1 (AUTHOR) swartzc@mcmaster.ca, Zyngier, Danielle2 (AUTHOR), Welt, Francois2 (AUTHOR) |
| Source: | Computers & Chemical Engineering. Mar2020, Vol. 134, pN.PAG-N.PAG. 1p. |
| Subjects: | Water power, Electricity pricing, Uncertainty, Scheduling, Anxiety, BP Deepwater Horizon Explosion & Oil Spill, 2010 |
| Abstract: | • Novel scheme for online scheduling of cascaded hydropower systems. • Electricity price, inflow and model parameter uncertainty mitigated via feedback. • Both continuous and discrete decisions modeled within online scheduling framework. • "Nervousness" issue quantitatively analyzed in the context of online scheduling. • Nervousness mitigation strategies developed and implemented. The efficient utilization of available resources plays a significant role in the operation of cascaded hydropower systems. Scheduling of such systems may be used to determine power generation and generating unit decisions that optimize economic performance subject to prevailing constraints. The highly volatile and unpredictable nature of market and weather conditions give rise to uncertainties in electricity prices and water inflows, which may significantly impact the power generation schedules for these systems. Computed schedules may also give rise to significant variation in the generating unit commitments in response to slight fluctuations in electricity pricing, a phenomenon referred to as "nervousness". This article focuses on the development and implementation of a novel rolling horizon online scheduling scheme capable of handling uncertainties in key system and model parameters. Different strategies for mitigating the undesirable effects of nervousness are also investigated. These approaches are demonstrated through application to several case studies. [ABSTRACT FROM AUTHOR] |
| Copyright of Computers & Chemical Engineering is the property of Pergamon Press - An Imprint of Elsevier Science 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: 142045222 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Uncertainty management via online scheduling for optimal short-term operation of cascaded hydropower systems. – 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="%22Computers+%26+Chemical+Engineering%22">Computers & Chemical Engineering</searchLink>. Mar2020, Vol. 134, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Water+power%22">Water power</searchLink><br /><searchLink fieldCode="DE" term="%22Electricity+pricing%22">Electricity pricing</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br /><searchLink fieldCode="DE" term="%22BP+Deepwater+Horizon+Explosion+%26+Oil+Spill%2C+2010%22">BP Deepwater Horizon Explosion & Oil Spill, 2010</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Novel scheme for online scheduling of cascaded hydropower systems. • Electricity price, inflow and model parameter uncertainty mitigated via feedback. • Both continuous and discrete decisions modeled within online scheduling framework. • "Nervousness" issue quantitatively analyzed in the context of online scheduling. • Nervousness mitigation strategies developed and implemented. The efficient utilization of available resources plays a significant role in the operation of cascaded hydropower systems. Scheduling of such systems may be used to determine power generation and generating unit decisions that optimize economic performance subject to prevailing constraints. The highly volatile and unpredictable nature of market and weather conditions give rise to uncertainties in electricity prices and water inflows, which may significantly impact the power generation schedules for these systems. Computed schedules may also give rise to significant variation in the generating unit commitments in response to slight fluctuations in electricity pricing, a phenomenon referred to as "nervousness". This article focuses on the development and implementation of a novel rolling horizon online scheduling scheme capable of handling uncertainties in key system and model parameters. Different strategies for mitigating the undesirable effects of nervousness are also investigated. These approaches are demonstrated through application to several case studies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computers & Chemical Engineering is the property of Pergamon Press - An Imprint of Elsevier Science 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.compchemeng.2019.106677 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Water power Type: general – SubjectFull: Electricity pricing Type: general – SubjectFull: Uncertainty Type: general – SubjectFull: Scheduling Type: general – SubjectFull: Anxiety Type: general – SubjectFull: BP Deepwater Horizon Explosion & Oil Spill, 2010 Type: general Titles: – TitleFull: Uncertainty management via online scheduling for optimal short-term operation of cascaded hydropower systems. 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: 04 M: 03 Text: Mar2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 00981354 Numbering: – Type: volume Value: 134 Titles: – TitleFull: Computers & Chemical Engineering Type: main |
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