Climate Resilience–Oriented Power Source Expansion Planning Under Supply–Demand Perspective.
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| Title: | Climate Resilience–Oriented Power Source Expansion Planning Under Supply–Demand Perspective. |
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| Authors: | Zou, Yichao1 (AUTHOR), Ye, Rong1 (AUTHOR), Hu, Zhenda1 (AUTHOR), Shi, Qingxin2 (AUTHOR) qshi@ncepu.edu.cn, Biswas, Arnab (AUTHOR) arnbiswas@wiley.com |
| Source: | International Transactions on Electrical Energy Systems. 2/12/2026, Vol. 2026, p1-12. 12p. |
| Subject Terms: | *Extreme weather, *Electric power system planning, *Scheduling, *Discrete event simulation, *Climate change mitigation, *Renewable energy sources |
| Geographic Terms: | China |
| Abstract: | The power composition of the modern power system will shift from fossil fuels as the dominant source to large‐scale renewable energy generation. The resource attribute of renewable energy that relies on the weather has made the meteorological challenges of the power system increasingly prominent. Taking the climate risk of the power system as the core, this paper summarizes the mechanisms of various extreme weather events affecting the power system. Based on the denoising variational autoencoder algorithm, a method for generating extreme scenarios is proposed. The extreme scenarios are generated by combining historical data of a southeastern province in China and the IEEE 39‐node standard calculation example. By adopting the generated extreme scenarios into the long‐term scheduling model, the proposed method in this paper is verified. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 191517071 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Climate Resilience–Oriented Power Source Expansion Planning Under Supply–Demand Perspective. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zou%2C+Yichao%22">Zou, Yichao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ye%2C+Rong%22">Ye, Rong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Zhenda%22">Hu, Zhenda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Qingxin%22">Shi, Qingxin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> qshi@ncepu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Biswas%2C+Arnab%22">Biswas, Arnab</searchLink> (AUTHOR)<i> arnbiswas@wiley.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Transactions+on+Electrical+Energy+Systems%22">International Transactions on Electrical Energy Systems</searchLink>. 2/12/2026, Vol. 2026, p1-12. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Extreme+weather%22">Extreme weather</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+system+planning%22">Electric power system planning</searchLink><br />*<searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br />*<searchLink fieldCode="DE" term="%22Discrete+event+simulation%22">Discrete event simulation</searchLink><br />*<searchLink fieldCode="DE" term="%22Climate+change+mitigation%22">Climate change mitigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The power composition of the modern power system will shift from fossil fuels as the dominant source to large‐scale renewable energy generation. The resource attribute of renewable energy that relies on the weather has made the meteorological challenges of the power system increasingly prominent. Taking the climate risk of the power system as the core, this paper summarizes the mechanisms of various extreme weather events affecting the power system. Based on the denoising variational autoencoder algorithm, a method for generating extreme scenarios is proposed. The extreme scenarios are generated by combining historical data of a southeastern province in China and the IEEE 39‐node standard calculation example. By adopting the generated extreme scenarios into the long‐term scheduling model, the proposed method in this paper is verified. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=191517071 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/etep/8862592 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Subjects: – SubjectFull: Extreme weather Type: general – SubjectFull: Electric power system planning Type: general – SubjectFull: Scheduling Type: general – SubjectFull: Discrete event simulation Type: general – SubjectFull: Climate change mitigation Type: general – SubjectFull: Renewable energy sources Type: general – SubjectFull: China Type: general Titles: – TitleFull: Climate Resilience–Oriented Power Source Expansion Planning Under Supply–Demand Perspective. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zou, Yichao – PersonEntity: Name: NameFull: Ye, Rong – PersonEntity: Name: NameFull: Hu, Zhenda – PersonEntity: Name: NameFull: Shi, Qingxin – PersonEntity: Name: NameFull: Biswas, Arnab IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 02 Text: 2/12/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20507038 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: International Transactions on Electrical Energy Systems Type: main |
| ResultId | 1 |
