A Modified ABC Algorithm For The Best Placement Of DG Units

The strategic placement of distributed generation (DG) units effectively addresses client needs while minimizing power loss and voltage variations, especially during peak demand periods. This study investigates the best possible position of DG inside electrical systems. It introduces an improved idea designed to minimize total active and reactive power losses and overall voltage deviation. This work proposes the use of an improved Artificial Bee Colony method to tackle this multi-objective issue. This advanced method employs the opposite of the original solution, essentially doubling the population search space from the beginning and increasing the variety of outcomes. This work checks the efficacy of the proposed algorithm relative to previous techniques using the IEEE 69-bus distribution grid. Besides, this paper uses the backwards-forward sweep (BFS) approach to examine load flow. The findings demonstrate that the suggested $A B C$ algorithm surpasses other current algorithms.

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Publication Details

Published
2025-06-11
DOI
https://doi.org/10.1109/gpecom65896.2025.11061263
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.24
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article

A Modified ABC Algorithm For The Best Placement Of DG Units

Rachid Bannari, Ismail El Kafazi, Abdelfettah Bannari, Meriem M’dioud et al.
1 citations
Manufacturing Process and Optimization
1.24
article

A Modified ABC Algorithm For The Best Placement Of DG Units

Rachid Bannari, Ismail El Kafazi, Abdelfettah Bannari, Meriem M’dioud, Youssef Er-Rays
article en
1 citations

Abstract

The strategic placement of distributed generation (DG) units effectively addresses client needs while minimizing power loss and voltage variations, especially during peak demand periods. This study investigates the best possible position of DG inside electrical systems. It introduces an improved idea designed to minimize total active and reactive power losses and overall voltage deviation. This work proposes the use of an improved Artificial Bee Colony method to tackle this multi-objective issue. This advanced method employs the opposite of the original solution, essentially doubling the population search space from the beginning and increasing the variety of outcomes. This work checks the efficacy of the proposed algorithm relative to previous techniques using the IEEE 69-bus distribution grid. Besides, this paper uses the backwards-forward sweep (BFS) approach to examine load flow. The findings demonstrate that the suggested $A B C$ algorithm surpasses other current algorithms.

Abdelmalek Essaâdi University (MA), Université Ibn-Tofail (MA), Université Sultan Moulay Slimane (MA)
Openalex Percentile: Top 18%
Manufacturing Process and Optimization
1.24
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A Modified ABC Algorithm For The Best Placement Of DG Units — Rachid Bannari, Ismail El Kafazi, et al. · (2025) | TGRS Research Map | TGRS