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Probability box theory-based uncertain power flow calculation for power system with wind power.

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Title: Probability box theory-based uncertain power flow calculation for power system with wind power.
Authors: Ding, Jiaman1 (AUTHOR) tjoman@126.com, Chen, Zhixin1 (AUTHOR) 2335901801@qq.com, Du, Yi2 (AUTHOR) 12844059@qq.com
Source: International Journal of Emerging Electric Power Systems. Apr2021, Vol. 22 Issue 2, p243-253. 11p.
Subjects: Wind power, Monte Carlo method, Wind speed, Newton-Raphson method, Uncertain systems, Wind power plants, Probability theory
Abstract: The uncertainty of wind speed may lead to the deviation and change of wind power output, which influences the stability of wind farm. Therefore, in this paper, a probability box (p-box) based uncertain power flow model for wind power is proposed, which initially introduces p-box to power flow calculation. A probabilistic interval power flow model with both probability and interval is established. Firstly, the drift interval of wind speed is obtained and its p-box model is established by analyzing the distribution of wind speed. Secondly, the wind power output p-box is derived from the wind speed p-box based on the relationship between wind power output and wind speed, then the p-box of wind power output is discretized and introduced into the power flow equation to obtain the power flow p-box model. Finally, Newton–Raphson method is used to solve the power flow p-box model. Experiments on data collected from a wind farm (running standard IEEE30-bus test system) in Inner Mongolia demonstrate that our method is more effective and accurate than the traditional Monte Carlo simulation (MCS) and classical interval power flow (IPF) method. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Emerging Electric Power Systems is the property of De Gruyter 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.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 149880264
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Probability box theory-based uncertain power flow calculation for power system with wind power.
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  Data: <searchLink fieldCode="AR" term="%22Ding%2C+Jiaman%22">Ding, Jiaman</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tjoman@126.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Zhixin%22">Chen, Zhixin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 2335901801@qq.com</i><br /><searchLink fieldCode="AR" term="%22Du%2C+Yi%22">Du, Yi</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> 12844059@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Emerging+Electric+Power+Systems%22">International Journal of Emerging Electric Power Systems</searchLink>. Apr2021, Vol. 22 Issue 2, p243-253. 11p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Newton-Raphson+method%22">Newton-Raphson method</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertain+systems%22">Uncertain systems</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+power+plants%22">Wind power plants</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The uncertainty of wind speed may lead to the deviation and change of wind power output, which influences the stability of wind farm. Therefore, in this paper, a probability box (p-box) based uncertain power flow model for wind power is proposed, which initially introduces p-box to power flow calculation. A probabilistic interval power flow model with both probability and interval is established. Firstly, the drift interval of wind speed is obtained and its p-box model is established by analyzing the distribution of wind speed. Secondly, the wind power output p-box is derived from the wind speed p-box based on the relationship between wind power output and wind speed, then the p-box of wind power output is discretized and introduced into the power flow equation to obtain the power flow p-box model. Finally, Newton–Raphson method is used to solve the power flow p-box model. Experiments on data collected from a wind farm (running standard IEEE30-bus test system) in Inner Mongolia demonstrate that our method is more effective and accurate than the traditional Monte Carlo simulation (MCS) and classical interval power flow (IPF) method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Emerging Electric Power Systems is the property of De Gruyter 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: 10.1515/ijeeps-2020-0227
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 243
    Subjects:
      – SubjectFull: Wind power
        Type: general
      – SubjectFull: Monte Carlo method
        Type: general
      – SubjectFull: Wind speed
        Type: general
      – SubjectFull: Newton-Raphson method
        Type: general
      – SubjectFull: Uncertain systems
        Type: general
      – SubjectFull: Wind power plants
        Type: general
      – SubjectFull: Probability theory
        Type: general
    Titles:
      – TitleFull: Probability box theory-based uncertain power flow calculation for power system with wind power.
        Type: main
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          Name:
            NameFull: Ding, Jiaman
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          Name:
            NameFull: Chen, Zhixin
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          Name:
            NameFull: Du, Yi
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          Dates:
            – D: 01
              M: 04
              Text: Apr2021
              Type: published
              Y: 2021
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              Value: 22
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              Value: 2
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            – TitleFull: International Journal of Emerging Electric Power Systems
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