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Bi-Level Optimal Scheduling for Bundled Operation of PSH with WP and PV Under Extreme High-Temperature Weather.

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Title: Bi-Level Optimal Scheduling for Bundled Operation of PSH with WP and PV Under Extreme High-Temperature Weather.
Authors: Ma, Wanji1 (AUTHOR), Zhang, Hong1,2 (AUTHOR), Qiao, He1,2 (AUTHOR), Xing, Dacheng1,2 (AUTHOR) 13166917763@163.com
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2048. 33p.
Subject Terms: *Pumped storage power plants, *Bilevel programming, *Photovoltaic power generation, *High temperature (Weather), *Scheduling, *Renewable energy sources, *Energy industries, *Wind power
Abstract: With the increasing occurrence of extreme high-temperature weather events, the traditional bundled operation of wind power (WP), photovoltaic power (PV), and pumped storage hydropower (PSH) is facing dual challenges, namely intensified renewable energy fluctuations and insufficient flexible regulation capability of PSH. Therefore, this paper proposes an optimal scheduling strategy for bundled operation based on capacity interval matching of PSH with WP and PV under extreme high-temperature weather. First, typical scenarios are generated based on a Time-series Generative Adversarial Network (TimeGAN), and an interval matching transaction model is established based on the forecast intervals of WP and PV capacity and the corrected intervals of PSH capacity. Second, considering PSH as an independent market entity, a bi-level optimization model is constructed, in which the upper-level objective is to maximize the revenue of PSH, while the lower-level objective is to minimize the total cost of the joint clearing of the energy and ancillary service markets. Finally, simulation case studies verify that under extreme high-temperature weather, the proposed optimal scheduling method increases the bundled operation capacity by 17.9% and improves the revenue of PSH in the reserve ancillary service market by 14.8%, thereby effectively enhancing the economic performance of PSH while ensuring the safe and stable operation of the system. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193715944
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Bi-Level Optimal Scheduling for Bundled Operation of PSH with WP and PV Under Extreme High-Temperature Weather.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Wanji%22">Ma, Wanji</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hong%22">Zhang, Hong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qiao%2C+He%22">Qiao, He</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xing%2C+Dacheng%22">Xing, Dacheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> 13166917763@163.com</i>
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  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2048. 33p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Pumped+storage+power+plants%22">Pumped storage power plants</searchLink><br />*<searchLink fieldCode="DE" term="%22Bilevel+programming%22">Bilevel programming</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+generation%22">Photovoltaic power generation</searchLink><br />*<searchLink fieldCode="DE" term="%22High+temperature+%28Weather%29%22">High temperature (Weather)</searchLink><br />*<searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+industries%22">Energy industries</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the increasing occurrence of extreme high-temperature weather events, the traditional bundled operation of wind power (WP), photovoltaic power (PV), and pumped storage hydropower (PSH) is facing dual challenges, namely intensified renewable energy fluctuations and insufficient flexible regulation capability of PSH. Therefore, this paper proposes an optimal scheduling strategy for bundled operation based on capacity interval matching of PSH with WP and PV under extreme high-temperature weather. First, typical scenarios are generated based on a Time-series Generative Adversarial Network (TimeGAN), and an interval matching transaction model is established based on the forecast intervals of WP and PV capacity and the corrected intervals of PSH capacity. Second, considering PSH as an independent market entity, a bi-level optimization model is constructed, in which the upper-level objective is to maximize the revenue of PSH, while the lower-level objective is to minimize the total cost of the joint clearing of the energy and ancillary service markets. Finally, simulation case studies verify that under extreme high-temperature weather, the proposed optimal scheduling method increases the bundled operation capacity by 17.9% and improves the revenue of PSH in the reserve ancillary service market by 14.8%, thereby effectively enhancing the economic performance of PSH while ensuring the safe and stable operation of the system. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193715944
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19092048
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 33
        StartPage: 2048
    Subjects:
      – SubjectFull: Pumped storage power plants
        Type: general
      – SubjectFull: Bilevel programming
        Type: general
      – SubjectFull: Photovoltaic power generation
        Type: general
      – SubjectFull: High temperature (Weather)
        Type: general
      – SubjectFull: Scheduling
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Energy industries
        Type: general
      – SubjectFull: Wind power
        Type: general
    Titles:
      – TitleFull: Bi-Level Optimal Scheduling for Bundled Operation of PSH with WP and PV Under Extreme High-Temperature Weather.
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Ma, Wanji
      – PersonEntity:
          Name:
            NameFull: Zhang, Hong
      – PersonEntity:
          Name:
            NameFull: Qiao, He
      – PersonEntity:
          Name:
            NameFull: Xing, Dacheng
    IsPartOfRelationships:
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          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
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            – Type: volume
              Value: 19
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
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