Loss allocation in distribution systems considering system power factor and local generators.

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Title: Loss allocation in distribution systems considering system power factor and local generators.
Authors: Singh, Vijay Pal1 (AUTHOR) vjplsngh269@gmail.com, Jagtap, Kushal Manoharrao1 (AUTHOR) jagtapkushal@nitsri.ac.in, Ahmad, Aijaz1 (AUTHOR) aijaz54@nitsri.ac.in
Source: Electrical Engineering. Mar2025, Vol. 107 Issue 3, p3099-3118. 20p.
Subjects: Electrical load, Reactive flow, Reactive power, Electricity markets, Consumers
Abstract: In the context of a deregulated electricity market, this paper presents a new method for the distribution of electrical losses in distribution systems with local generators, incorporating variations in consumer power factor. Additionally, the paper examines how local generators may gain the utmost possible advantage from their contributions to system performance enhancement. The proposed approach initially analyzes dynamic changes in active and reactive power flow caused by a change in consumer power factor, followed by a loss allocation mechanism. This method is developed based on Kirchhoff's law and the natural decomposition of injected bundled power flow at a bus. To completely eliminate cross-subsidies, the proposed mechanism follows a two-stage power flow: first, consumer-controlled power flows, and second, determining variations in power flow as compared to the first stage due to interactions with local generators. Consumer load modeling is being considered to improve the proposed method's adaptability and efficiency across different distribution systems. The effectiveness of the proposed method is validated through testing on 30-bus and 69-bus distribution systems, and the results obtained are compared with those of other methods found in the literature. [ABSTRACT FROM AUTHOR]
Copyright of Electrical Engineering is the property of Springer Nature 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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  Data: Loss allocation in distribution systems considering system power factor and local generators.
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+Vijay+Pal%22">Singh, Vijay Pal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> vjplsngh269@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Jagtap%2C+Kushal+Manoharrao%22">Jagtap, Kushal Manoharrao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jagtapkushal@nitsri.ac.in</i><br /><searchLink fieldCode="AR" term="%22Ahmad%2C+Aijaz%22">Ahmad, Aijaz</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aijaz54@nitsri.ac.in</i>
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  Data: <searchLink fieldCode="JN" term="%22Electrical+Engineering%22">Electrical Engineering</searchLink>. Mar2025, Vol. 107 Issue 3, p3099-3118. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Electrical+load%22">Electrical load</searchLink><br /><searchLink fieldCode="DE" term="%22Reactive+flow%22">Reactive flow</searchLink><br /><searchLink fieldCode="DE" term="%22Reactive+power%22">Reactive power</searchLink><br /><searchLink fieldCode="DE" term="%22Electricity+markets%22">Electricity markets</searchLink><br /><searchLink fieldCode="DE" term="%22Consumers%22">Consumers</searchLink>
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  Data: In the context of a deregulated electricity market, this paper presents a new method for the distribution of electrical losses in distribution systems with local generators, incorporating variations in consumer power factor. Additionally, the paper examines how local generators may gain the utmost possible advantage from their contributions to system performance enhancement. The proposed approach initially analyzes dynamic changes in active and reactive power flow caused by a change in consumer power factor, followed by a loss allocation mechanism. This method is developed based on Kirchhoff's law and the natural decomposition of injected bundled power flow at a bus. To completely eliminate cross-subsidies, the proposed mechanism follows a two-stage power flow: first, consumer-controlled power flows, and second, determining variations in power flow as compared to the first stage due to interactions with local generators. Consumer load modeling is being considered to improve the proposed method's adaptability and efficiency across different distribution systems. The effectiveness of the proposed method is validated through testing on 30-bus and 69-bus distribution systems, and the results obtained are compared with those of other methods found in the literature. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Electrical Engineering is the property of Springer Nature 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:
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      – Type: doi
        Value: 10.1007/s00202-024-02672-6
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 3099
    Subjects:
      – SubjectFull: Electrical load
        Type: general
      – SubjectFull: Reactive flow
        Type: general
      – SubjectFull: Reactive power
        Type: general
      – SubjectFull: Electricity markets
        Type: general
      – SubjectFull: Consumers
        Type: general
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      – TitleFull: Loss allocation in distribution systems considering system power factor and local generators.
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            NameFull: Singh, Vijay Pal
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            NameFull: Jagtap, Kushal Manoharrao
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            NameFull: Ahmad, Aijaz
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            – D: 01
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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              Value: 107
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            – TitleFull: Electrical Engineering
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