Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks

Ishak Aloui; Manel Bidi; Youcef Kachaou

doi:10.30521/jes.1759249

Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks

Abstract

Adding the photovoltaic distributed generation (PVDG) and distribution static compensators (DSTATCOM) to power distribution networks is an effective technique to improve voltage stability and reduce power losses. This research introduces a new hybrid optimization approach that combines genetic algorithms (GAs), glowworm swarm optimization (GSO), and particle swarm optimization (PSO) to determine the optimal sizes and positions for PVDG and DSTATCOM units in radial distribution networks. The primary goal is to minimize total active power loss (TAPL) and total voltage deviation (TVD), while maintaining voltage stability at its peak. To achieve superior optimization results, the GA-GSO-PSO algorithm is produced. It takes advantage of GA’s power in exploring multiple solutions, GSO’s capacity to search locally, and PSO’s rapid convergence. A technique on IEEE 33- and 69-bus systems is performed and a comparison with other algorithms, namely PSO, GSA, PPSOGSA, and MOEA/D is discussed. The results are found to be outstanding since the active power loss in the 33-bus system is decreased by 94.68%, from 210.98 kW to 11.61 kW. The 69-bus system shows an even greater reduction of 98.11%, with losses reducing from 224.94 kW to 4.25 kW. The minimum bus voltage is also improved further. It increases from 0.9038 p.u to 0.992 p.u in the 33-bus system, and from 0.9092 p.u to 0.9943 p.u in the 69-bus system. At the same time, the total voltage deviation is decreased by up to 94.17%. It has been proven that strategically installing suitably sized PVDG and DSTATCOM units can significantly improve power quality, voltage stability, and network efficiency.

Keywords

References

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Details

Primary Language

English

Subjects

Electrical Energy Transmission, Networks and Systems

Journal Section

Research Article

Authors

Ishak Aloui
0009-0004-5656-6799
Algeria

Manel Bidi ^*
0009-0005-2969-9198
Algeria

Youcef Kachaou
0009-0000-2626-7908
Algeria

Early Pub Date

March 10, 2026

Publication Date

March 10, 2026

Submission Date

August 6, 2025

Acceptance Date

February 2, 2026

Published in Issue

Year 2026 Volume: 10 Number: 1

DOI

https://doi.org/10.30521/jes.1759249

IZ

https://izlik.org/JA35BR33RE

Cite

RIS / Bibtex

APA

Aloui, I., Bidi, M., & Kachaou, Y. (2026). Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks. Journal of Energy Systems, 10(1), 27-48. https://doi.org/10.30521/jes.1759249

AMA

1.Aloui I, Bidi M, Kachaou Y. Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks. Journal of Energy Systems. 2026;10(1):27-48. doi:10.30521/jes.1759249

Chicago

Aloui, Ishak, Manel Bidi, and Youcef Kachaou. 2026. “Hybrid GA-GSO-PSO Algorithm for Optimal PVDG and DSTATCOM Placement and Sizing in Distribution Networks”. Journal of Energy Systems 10 (1): 27-48. https://doi.org/10.30521/jes.1759249.

EndNote

Aloui I, Bidi M, Kachaou Y (March 1, 2026) Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks. Journal of Energy Systems 10 1 27–48.

IEEE

[1]I. Aloui, M. Bidi, and Y. Kachaou, “Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks”, Journal of Energy Systems, vol. 10, no. 1, pp. 27–48, Mar. 2026, doi: 10.30521/jes.1759249.

ISNAD

Aloui, Ishak - Bidi, Manel - Kachaou, Youcef. “Hybrid GA-GSO-PSO Algorithm for Optimal PVDG and DSTATCOM Placement and Sizing in Distribution Networks”. Journal of Energy Systems 10/1 (March 1, 2026): 27-48. https://doi.org/10.30521/jes.1759249.

JAMA

1.Aloui I, Bidi M, Kachaou Y. Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks. Journal of Energy Systems. 2026;10:27–48.

MLA

Aloui, Ishak, et al. “Hybrid GA-GSO-PSO Algorithm for Optimal PVDG and DSTATCOM Placement and Sizing in Distribution Networks”. Journal of Energy Systems, vol. 10, no. 1, Mar. 2026, pp. 27-48, doi:10.30521/jes.1759249.

Vancouver

1.Ishak Aloui, Manel Bidi, Youcef Kachaou. Hybrid GA-GSO-PSO algorithm for optimal PVDG and DSTATCOM placement and sizing in distribution networks. Journal of Energy Systems. 2026 Mar. 1;10(1):27-48. doi:10.30521/jes.1759249