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A Novel Two-Stage Optimal Scheduling Strategy for Mitigating Grid-Connected Power Fluctuations in Renewable Energy Microgrids.

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Title: A Novel Two-Stage Optimal Scheduling Strategy for Mitigating Grid-Connected Power Fluctuations in Renewable Energy Microgrids.
Authors: Xiao, Shilei1 (AUTHOR) 18849048376@163.com, Zhang, Jinhua1 (AUTHOR), Li, Zhongyang1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2392. 20p.
Subject Terms: *Microgrids, *Scheduling, *Energy storage, *Power quality disturbances, *Multi-objective optimization, *Electric vehicles, *Renewable energy sources, *Predictive control systems
Abstract: The large-scale integration of renewable energy and electric vehicles introduces grid-connected power fluctuations in microgrids. To address this, this paper proposes a novel two-stage optimization scheduling strategy that balances economic efficiency and grid compatibility. In the first stage, a multi-objective optimization model is formulated to minimize both operating costs and power fluctuations, and the Improved Multi-Objective Grey Wolf Optimization algorithm—incorporating the Bernoulli chaotic map—is employed to solve it efficiently. In the intra-day phase, a rolling tracking strategy based on model predictive control is proposed to address ultra-short-term forecasting errors, and a multi-unit hierarchical error compensation mechanism is designed. This mechanism prioritizes the use of supercapacitors to absorb high-frequency fluctuations, followed by the coordinated use of batteries, electric vehicle clusters, and micro gas turbines to mitigate residual deviations, thereby effectively reducing the operational burden on individual energy storage devices. Finally, a comparative analysis of six simulation cases was conducted using a weighted evaluation metric that integrates average power deviation values and interconnection line power fluctuations. The results confirm that this strategy not only significantly smooths grid-connected power fluctuations but also demonstrates exceptional robustness and adaptability under extreme forecast error scenarios. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194141507
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: A Novel Two-Stage Optimal Scheduling Strategy for Mitigating Grid-Connected Power Fluctuations in Renewable Energy Microgrids.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Xiao%2C+Shilei%22">Xiao, Shilei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 18849048376@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jinhua%22">Zhang, Jinhua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zhongyang%22">Li, Zhongyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2392. 20p.
– Name: Subject
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  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Power+quality+disturbances%22">Power quality disturbances</searchLink><br />*<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The large-scale integration of renewable energy and electric vehicles introduces grid-connected power fluctuations in microgrids. To address this, this paper proposes a novel two-stage optimization scheduling strategy that balances economic efficiency and grid compatibility. In the first stage, a multi-objective optimization model is formulated to minimize both operating costs and power fluctuations, and the Improved Multi-Objective Grey Wolf Optimization algorithm—incorporating the Bernoulli chaotic map—is employed to solve it efficiently. In the intra-day phase, a rolling tracking strategy based on model predictive control is proposed to address ultra-short-term forecasting errors, and a multi-unit hierarchical error compensation mechanism is designed. This mechanism prioritizes the use of supercapacitors to absorb high-frequency fluctuations, followed by the coordinated use of batteries, electric vehicle clusters, and micro gas turbines to mitigate residual deviations, thereby effectively reducing the operational burden on individual energy storage devices. Finally, a comparative analysis of six simulation cases was conducted using a weighted evaluation metric that integrates average power deviation values and interconnection line power fluctuations. The results confirm that this strategy not only significantly smooths grid-connected power fluctuations but also demonstrates exceptional robustness and adaptability under extreme forecast error scenarios. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141507
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19102392
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 2392
    Subjects:
      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Scheduling
        Type: general
      – SubjectFull: Energy storage
        Type: general
      – SubjectFull: Power quality disturbances
        Type: general
      – SubjectFull: Multi-objective optimization
        Type: general
      – SubjectFull: Electric vehicles
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Predictive control systems
        Type: general
    Titles:
      – TitleFull: A Novel Two-Stage Optimal Scheduling Strategy for Mitigating Grid-Connected Power Fluctuations in Renewable Energy Microgrids.
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            NameFull: Xiao, Shilei
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          Name:
            NameFull: Zhang, Jinhua
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            NameFull: Li, Zhongyang
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          Dates:
            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
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              Value: 19
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
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