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Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system.

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Title: Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system.
Authors: Wang, Zizhao1 (AUTHOR) wangzizhao@hhu.edu.cn, Wu, Feng1 (AUTHOR) wufeng@hhu.edu.cn, Li, Yang1 (AUTHOR) eeliyang@hhu.edu.cn, Shi, Linjun1 (AUTHOR), Lee, Kwang Y.2 (AUTHOR), Wu, Jiawei1 (AUTHOR)
Source: Renewable Energy: An International Journal. Jan2023, Vol. 202, p127-142. 16p.
Subject Terms: *Photovoltaic power generation, *Water levels, *Reservoirs, *Photovoltaic power systems, Stochastic differential equations, Maximum power point trackers, Electric power distribution grids
Geographic Terms: China
Abstract: The complementary operation of cascade hydropower (CHP) and photovoltaic (PV) can increase the integration of PV power and has become a trend in modern power systems. However, the randomness and variability of PV power output might cause challenges in precisely tracking the submitted generation plan of the CHP-PV complementary system. The safety and stability of the receiving-end power grid might deteriorate. In this paper, a multi-time scale dispatch framework with day-ahead and intra-day dispatch is established for the CHP-PV complementary system to address the PV uncertainties. The day-ahead dispatch is employed to provide reliable reference results and sufficient adjustment reservations for the intra-day dispatch. An Itô-theory-based stochastic optimization (ITB-SO) approach is proposed for the intra-day dispatch by modeling the PV prediction error with stochastic differential equations (SDE). The SDE model can be embedded into the ITB-SO approach without scenario generation, and thus computational burden can be significantly reduced compared with scenario-based methods. A complementary system in southwest China is chosen as a detailed case study. The simulation results demonstrate that real-time random PV fluctuations could be compensated by adjusting CHPs. Meanwhile, the target water level of cascade reservoirs can be tracked under the proposed approach. [ABSTRACT FROM AUTHOR]
Copyright of Renewable Energy: An International Journal 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.)
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  Label: Title
  Group: Ti
  Data: Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Zizhao%22">Wang, Zizhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wangzizhao@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Feng%22">Wu, Feng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wufeng@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Yang%22">Li, Yang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eeliyang@hhu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Linjun%22">Shi, Linjun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Kwang+Y%2E%22">Lee, Kwang Y.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Jiawei%22">Wu, Jiawei</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Renewable+Energy%3A+An+International+Journal%22">Renewable Energy: An International Journal</searchLink>. Jan2023, Vol. 202, p127-142. 16p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Photovoltaic+power+generation%22">Photovoltaic power generation</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+levels%22">Water levels</searchLink><br />*<searchLink fieldCode="DE" term="%22Reservoirs%22">Reservoirs</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+differential+equations%22">Stochastic differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+power+point+trackers%22">Maximum power point trackers</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink>
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  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The complementary operation of cascade hydropower (CHP) and photovoltaic (PV) can increase the integration of PV power and has become a trend in modern power systems. However, the randomness and variability of PV power output might cause challenges in precisely tracking the submitted generation plan of the CHP-PV complementary system. The safety and stability of the receiving-end power grid might deteriorate. In this paper, a multi-time scale dispatch framework with day-ahead and intra-day dispatch is established for the CHP-PV complementary system to address the PV uncertainties. The day-ahead dispatch is employed to provide reliable reference results and sufficient adjustment reservations for the intra-day dispatch. An Itô-theory-based stochastic optimization (ITB-SO) approach is proposed for the intra-day dispatch by modeling the PV prediction error with stochastic differential equations (SDE). The SDE model can be embedded into the ITB-SO approach without scenario generation, and thus computational burden can be significantly reduced compared with scenario-based methods. A complementary system in southwest China is chosen as a detailed case study. The simulation results demonstrate that real-time random PV fluctuations could be compensated by adjusting CHPs. Meanwhile, the target water level of cascade reservoirs can be tracked under the proposed approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Renewable Energy: An International Journal 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.renene.2022.11.038
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 127
    Subjects:
      – SubjectFull: Photovoltaic power generation
        Type: general
      – SubjectFull: Water levels
        Type: general
      – SubjectFull: Reservoirs
        Type: general
      – SubjectFull: Photovoltaic power systems
        Type: general
      – SubjectFull: Stochastic differential equations
        Type: general
      – SubjectFull: Maximum power point trackers
        Type: general
      – SubjectFull: Electric power distribution grids
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Itô-theory-based multi-time scale dispatch approach for cascade hydropower-photovoltaic complementary system.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Wang, Zizhao
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            NameFull: Wu, Feng
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            NameFull: Li, Yang
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            NameFull: Shi, Linjun
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            NameFull: Lee, Kwang Y.
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            NameFull: Wu, Jiawei
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          Dates:
            – D: 01
              M: 01
              Text: Jan2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 09601481
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            – Type: volume
              Value: 202
          Titles:
            – TitleFull: Renewable Energy: An International Journal
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