An Optimal Site and Size of DG Units by Using an Advanced ABC Algorithm

The optimal insertion of distributed generation (DG) units is an effective approach to meet customer requirements with minimal power loss and voltage fluctuations, even during peak demand. This research examines the optimal placement of DG units within electricity distribution systems. It presents an enhanced concept aimed at reducing total active and reactive power loss, as well as overall voltage deviation. In this study, we propose employing an advanced Artificial Bee Colony algorithm to address this multi-objective problem. This refined technique utilizes the inverse of the initial solution, effectively doubling the population search space from the outset and enhancing the diversity of the results. We evaluate the performance of the proposed algorithm in comparison to existing algorithms using the IEEE 33-bus distribution grid. To analyze load flows, we adopted the backwards-forward sweep (BFS) method. The results indicate that the proposed ABC algorithm outperforms other contemporary algorithms.

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Publication Details

Published
2025-06-11
DOI
https://doi.org/10.1109/gpecom65896.2025.11061886
Citations
1
Primary Topic
Electromagnetic Scattering and Analysis
Type
article
Field-Weighted Citation Impact
1.25
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An Optimal Site and Size of DG Units by Using an Advanced ABC Algorithm

Rachid Bannari, Ismail El Kafazi, Abdelfettah Bannari, Meriem M’dioud et al.
1 citations
Electromagnetic Scattering and Analysis
1.25
article

An Optimal Site and Size of DG Units by Using an Advanced ABC Algorithm

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

Abstract

The optimal insertion of distributed generation (DG) units is an effective approach to meet customer requirements with minimal power loss and voltage fluctuations, even during peak demand. This research examines the optimal placement of DG units within electricity distribution systems. It presents an enhanced concept aimed at reducing total active and reactive power loss, as well as overall voltage deviation. In this study, we propose employing an advanced Artificial Bee Colony algorithm to address this multi-objective problem. This refined technique utilizes the inverse of the initial solution, effectively doubling the population search space from the outset and enhancing the diversity of the results. We evaluate the performance of the proposed algorithm in comparison to existing algorithms using the IEEE 33-bus distribution grid. To analyze load flows, we adopted the backwards-forward sweep (BFS) method. The results indicate that the proposed ABC algorithm outperforms other contemporary algorithms.

Abdelmalek Essaâdi University (MA), Université Ibn-Tofail (MA), Université Sultan Moulay Slimane (MA)
Openalex Percentile: Top 19%
Electromagnetic Scattering and Analysis
1.25
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An Optimal Site and Size of DG Units by Using an Advanced ABC Algorithm — Rachid Bannari, Ismail El Kafazi, et al. · (2025) | TGRS Research Map | TGRS