Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms

Salih Ermiş; Oğuz Taşdemir

Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms

Abstract

The rapid increase in energy demand, environmental concerns, and the need for efficient energy resource utilization have highlighted the importance of distributed generation (DG) systems. The optimal placement and sizing of DG units are critical for reducing power losses, improving voltage profiles, and enhancing system reliability. This study utilizes Artificial Bee Colony (ABC) and JAYA algorithms to solve the problem of optimal DG allocation and sizing in the IEEE 33 bus distribution system. The ABC algorithm is inspired by the natural foraging behavior of honeybees and is recognized for its ability to efficiently explore complex solution spaces. The JAYA algorithm is a new optimization approach with its simple, parameter-free structure and fast convergence properties. The performance of both algorithms was evaluated based on convergence rate, power loss reduction, voltage improvement, and computational time. Results indicate that the JAYA algorithm achieves superior convergence and lower power losses compared to the ABC algorithm, while the ABC algorithm provides better voltage profile improvements. The findings of this study aim to contribute to the efficient planning and implementation of DG systems in modern power grids.

Keywords

References

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Details

Primary Language

English

Subjects

Electrical Energy Transmission, Networks and Systems, Electrical Energy Generation (Incl. Renewables, Excl. Photovoltaics)

Journal Section

Research Article

Authors

Salih Ermiş ^*
0000-0002-1053-9160
Türkiye

Oğuz Taşdemir
0000-0003-1782-0024
Türkiye

Early Pub Date

April 14, 2025

Publication Date

April 30, 2025

Submission Date

December 30, 2024

Acceptance Date

February 3, 2025

Published in Issue

Year 2025 Volume: 11 Number: 1

IZ

https://izlik.org/JA32YG97CS

Cite

RIS / Bibtex

APA

Ermiş, S., & Taşdemir, O. (2025). Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms. Gazi Journal of Engineering Sciences, 11(1), 69-82. https://izlik.org/JA32YG97CS

AMA

1.Ermiş S, Taşdemir O. Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms. GJES. 2025;11(1):69-82. https://izlik.org/JA32YG97CS

Chicago

Ermiş, Salih, and Oğuz Taşdemir. 2025. “Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms”. Gazi Journal of Engineering Sciences 11 (1): 69-82. https://izlik.org/JA32YG97CS.

EndNote

Ermiş S, Taşdemir O (April 1, 2025) Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms. Gazi Journal of Engineering Sciences 11 1 69–82.

IEEE

[1]S. Ermiş and O. Taşdemir, “Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms”, GJES, vol. 11, no. 1, pp. 69–82, Apr. 2025, [Online]. Available: https://izlik.org/JA32YG97CS

ISNAD

Ermiş, Salih - Taşdemir, Oğuz. “Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms”. Gazi Journal of Engineering Sciences 11/1 (April 1, 2025): 69-82. https://izlik.org/JA32YG97CS.

JAMA

1.Ermiş S, Taşdemir O. Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms. GJES. 2025;11:69–82.

MLA

Ermiş, Salih, and Oğuz Taşdemir. “Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms”. Gazi Journal of Engineering Sciences, vol. 11, no. 1, Apr. 2025, pp. 69-82, https://izlik.org/JA32YG97CS.

Vancouver

1.Salih Ermiş, Oğuz Taşdemir. Optimal Location and Sizing of Distributed Generation Using Artificial Bee Colony and JAYA Algorithms. GJES [Internet]. 2025 Apr. 1;11(1):69-82. Available from: https://izlik.org/JA32YG97CS