View in EDS

ABC algorithm for multi-objective problem of DG unit insertion.

Saved in:
Bibliographic Details
Title: ABC algorithm for multi-objective problem of DG unit insertion.
Authors: M'dioud, Meriem1 (AUTHOR) meriemmdioud@gmail.com, Er-Rays, Youssef2 (AUTHOR), Bannari, Rachid1 (AUTHOR), Kafazi, Ismailel3 (AUTHOR), Bossoufi, Badre1,4 (AUTHOR) badre.bossoufi@usmba.ac.ma, Almalki, Mishari Metab5 (AUTHOR), Alghamdi, ThamerA.H.6,7 (AUTHOR), Alenezi, Mohammed1,6 (AUTHOR) AleneziM1@cardiff.ac.uk
Source: Computers & Electrical Engineering. May2025:Part A, Vol. 124, pN.PAG-N.PAG. 1p.
Subjects: Electric power distribution, Reactive power, Energy industries, Energy dissipation, Algorithms
Abstract: Optimal DG insertion is a suitable method for satisfying the customer's requirements with minimum power loss and voltage dips, even during peak demand. Nonetheless, distributed generator insertion (DG) incurs special expenses, including investment, operating, and maintenance expenditures. This insertion is only economically effective if the expenses do not outweigh the energy loss's cost. This research investigates the best placement of DG units in electricity distribution systems. It provides a novel concept that aims to minimize overall energy costs, total active and reactive power loss, and overall voltage variation. In this research, we recommend employing a Novel Artificial Bee colony (NABC) algorithm to address this multi-objective problem. This novel technique employs the inverse of the initial solution, essentially doubling the population search space at the beginning and increasing the diversity of the result. On the other hand, this proposed technique uses the cosine of the chaotic map's formula to explore new solutions close to the best global solution. This strategy helps prevent local solutions and enhances the convergence speed of the basic ABC algorithm. We evaluate the proposed algorithm's performance against current algorithms. To study load flows in IEEE 33 and 69-bus distribution grids, we used the Backward Forward Sweep (BFS) approach. The results demonstrate that the proposed ABC algorithm outperforms other contemporary algorithms. [ABSTRACT FROM AUTHOR]
Copyright of Computers & Electrical Engineering 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.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 185301581
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: ABC algorithm for multi-objective problem of DG unit insertion.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22M'dioud%2C+Meriem%22">M'dioud, Meriem</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> meriemmdioud@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Er-Rays%2C+Youssef%22">Er-Rays, Youssef</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bannari%2C+Rachid%22">Bannari, Rachid</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kafazi%2C+Ismailel%22">Kafazi, Ismailel</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bossoufi%2C+Badre%22">Bossoufi, Badre</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> badre.bossoufi@usmba.ac.ma</i><br /><searchLink fieldCode="AR" term="%22Almalki%2C+Mishari+Metab%22">Almalki, Mishari Metab</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alghamdi%2C+ThamerA%2EH%2E%22">Alghamdi, ThamerA.H.</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alenezi%2C+Mohammed%22">Alenezi, Mohammed</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<i> AleneziM1@cardiff.ac.uk</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electrical+Engineering%22">Computers & Electrical Engineering</searchLink>. May2025:Part A, Vol. 124, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Electric+power+distribution%22">Electric power distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Reactive+power%22">Reactive power</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+industries%22">Energy industries</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+dissipation%22">Energy dissipation</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Optimal DG insertion is a suitable method for satisfying the customer's requirements with minimum power loss and voltage dips, even during peak demand. Nonetheless, distributed generator insertion (DG) incurs special expenses, including investment, operating, and maintenance expenditures. This insertion is only economically effective if the expenses do not outweigh the energy loss's cost. This research investigates the best placement of DG units in electricity distribution systems. It provides a novel concept that aims to minimize overall energy costs, total active and reactive power loss, and overall voltage variation. In this research, we recommend employing a Novel Artificial Bee colony (NABC) algorithm to address this multi-objective problem. This novel technique employs the inverse of the initial solution, essentially doubling the population search space at the beginning and increasing the diversity of the result. On the other hand, this proposed technique uses the cosine of the chaotic map's formula to explore new solutions close to the best global solution. This strategy helps prevent local solutions and enhances the convergence speed of the basic ABC algorithm. We evaluate the proposed algorithm's performance against current algorithms. To study load flows in IEEE 33 and 69-bus distribution grids, we used the Backward Forward Sweep (BFS) approach. The results demonstrate that the proposed ABC algorithm outperforms other contemporary algorithms. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computers & Electrical Engineering 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185301581
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.compeleceng.2025.110398
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Electric power distribution
        Type: general
      – SubjectFull: Reactive power
        Type: general
      – SubjectFull: Energy industries
        Type: general
      – SubjectFull: Energy dissipation
        Type: general
      – SubjectFull: Algorithms
        Type: general
    Titles:
      – TitleFull: ABC algorithm for multi-objective problem of DG unit insertion.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: M'dioud, Meriem
      – PersonEntity:
          Name:
            NameFull: Er-Rays, Youssef
      – PersonEntity:
          Name:
            NameFull: Bannari, Rachid
      – PersonEntity:
          Name:
            NameFull: Kafazi, Ismailel
      – PersonEntity:
          Name:
            NameFull: Bossoufi, Badre
      – PersonEntity:
          Name:
            NameFull: Almalki, Mishari Metab
      – PersonEntity:
          Name:
            NameFull: Alghamdi, ThamerA.H.
      – PersonEntity:
          Name:
            NameFull: Alenezi, Mohammed
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2025:Part A
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 00457906
          Numbering:
            – Type: volume
              Value: 124
          Titles:
            – TitleFull: Computers & Electrical Engineering
              Type: main
ResultId 1