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A multi-timescale low-carbon economic dispatch of microgrid considering V2G integration and battery residual value.

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Title: A multi-timescale low-carbon economic dispatch of microgrid considering V2G integration and battery residual value.
Authors: Yang, A. Jun1 (AUTHOR) yangjun@mail.neu.edu.cn, Chen, B. Nengxiang1 (AUTHOR), Pan, C. Jiahe2 (AUTHOR), Wang, D. Shunjiang3 (AUTHOR)
Source: Journal of Renewable & Sustainable Energy. Jan2026, Vol. 18 Issue 1, p1-18. 18p.
Subject Terms: *Microgrids, *Renewable energy sources, *Operating costs, *Mathematical optimization
Abstract: Recently, the uncertainty of renewable energy output and the randomness of electric vehicle charging loads have posed challenges to the stable operation of microgrids. In this study, multi-type electric vehicle clusters (EVCs), distributed generation, distributed renewable energy, and energy storage devices are integrated, and a multi-timescale rolling optimization model considering Vehicle-to-Grid (V2G) and battery degradation costs is proposed. First, EVCs are classified by analyzing the travel characteristics, and a V2G incentive mechanism is introduced to guide the orderly charging and discharging of EVCs. Second, an energy storage resale value model is established to quantify the degradation cost of energy storage batteries. Furthermore, a dynamic interaction mechanism between carbon trading and green certificates is proposed to improve the absorption rate of renewable energy in the system. Finally, a multi-timescale optimization model is established. The day-ahead stage formulates a 24-h dispatching plan based on wind–solar output and load forecasts, while the intra-day stage employs model predictive control for 15-min rolling optimization. The simulation results show that the proposed optimization strategy can reduce the wind power curtailment rate to less than 5 % , reduce carbon emissions by 28.8 % , and reduce the system operation cost by 9.6 %. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 191987099
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: A multi-timescale low-carbon economic dispatch of microgrid considering V2G integration and battery residual value.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+A%2E+Jun%22">Yang, A. Jun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yangjun@mail.neu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+B%2E+Nengxiang%22">Chen, B. Nengxiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+C%2E+Jiahe%22">Pan, C. Jiahe</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+D%2E+Shunjiang%22">Wang, D. Shunjiang</searchLink><relatesTo>3</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Renewable+%26+Sustainable+Energy%22">Journal of Renewable & Sustainable Energy</searchLink>. Jan2026, Vol. 18 Issue 1, p1-18. 18p.
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  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Operating+costs%22">Operating costs</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Recently, the uncertainty of renewable energy output and the randomness of electric vehicle charging loads have posed challenges to the stable operation of microgrids. In this study, multi-type electric vehicle clusters (EVCs), distributed generation, distributed renewable energy, and energy storage devices are integrated, and a multi-timescale rolling optimization model considering Vehicle-to-Grid (V2G) and battery degradation costs is proposed. First, EVCs are classified by analyzing the travel characteristics, and a V2G incentive mechanism is introduced to guide the orderly charging and discharging of EVCs. Second, an energy storage resale value model is established to quantify the degradation cost of energy storage batteries. Furthermore, a dynamic interaction mechanism between carbon trading and green certificates is proposed to improve the absorption rate of renewable energy in the system. Finally, a multi-timescale optimization model is established. The day-ahead stage formulates a 24-h dispatching plan based on wind–solar output and load forecasts, while the intra-day stage employs model predictive control for 15-min rolling optimization. The simulation results show that the proposed optimization strategy can reduce the wind power curtailment rate to less than 5 % , reduce carbon emissions by 28.8 % , and reduce the system operation cost by 9.6 %. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=191987099
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      – Type: doi
        Value: 10.1063/5.0311649
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 1
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      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Operating costs
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
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      – TitleFull: A multi-timescale low-carbon economic dispatch of microgrid considering V2G integration and battery residual value.
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            NameFull: Chen, B. Nengxiang
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            NameFull: Pan, C. Jiahe
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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